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MH SET 2024: 7 April, Paper II, Mathematical Sciences

  • Date: 7 April 2024
  • Paper code: APR-30224
  • Series: A
  • Language: Bilingual
  • 48 pages
MH SET 2024 question paper, 7 April 2024, Paper II, Mathematical Sciences, page 1 of 48
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Test Booklet Code & Serial No.
                                                                                                                       A
                                            MATHEMATICAL SCIENCE
Signature and Name of Invigilator                                                         Seat No.
1. (Signature) .........................................                                                    (In figures as in Admit Card)
      (Name) ................................................                     Seat No. ..............................................................
2. (Signature) .........................................                                               (In words)

      (Name) ................................................                 OMR Sheet No.

APR - 30224                                                                                                 (To be filled by the Candidate)
Time Allowed : 2 Hours]                                                                                 [Maximum Marks : 200
Number of Pages in this Booklet : 48                                                     Number of Questions in this Booklet : 180
                     Instructions for the Candidates
1.         Write your Seat No. and OMR Sheet No. in the space provided              1.
           on the top of this page.
2.         This paper consists of 180 objective type questions. Each question
           will carry two marks. Candidates should attempt all questions            2.
           either from sections I & II or from sections I & III only.                                              I       II         I   III
3.         At the commencement of examination, the question booklet
           will be given to the student. In the first 5 minutes, you are
           requested to open the booklet and compulsorily examine it as             3.
           follows :
           (i)     To have access to the Question Booklet, tear off the
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                   or questions repeated or not in serial order or any
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                   should be entered on this Test Booklet.                                  (iii)
4.         Each question has four alternative responses marked (A), (B),
           (C) and (D). You have to darken the circle as indicated below on         4.                      (A), (B), (C)       (D)
           the correct response against each item.
           Example : where (C) is the correct response.

                              A        B                 D                                            (C)
5.         Your responses to the items are to be indicated in the OMR
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10.        Use only Blue/Black Ball point pen.                                      10.
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2
MH SET 2024 question paper, 7 April 2024, Paper II, Mathematical Sciences, page 3 of 48
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                           Mathematical Science
                                       Paper II
Time Allowed : 120 Minutes]                           [Maximum Marks : 200
Note : This Paper contains One Hundred Eighty (180) multiple choice questions
       in THREE (3) sections, each question carrying TWO (2) marks. Attempt
       all questions either from Sections I & II only or from Sections I & III
       only. The OMR sheets with questions attempted from both the Sections viz.
       II & III, will not be assessed.
       Number of questions, sectionwise :
       Section I : Q. Nos. 1 to 20,          Section II : Q. Nos. 21 to 100,
       Section III : Q. Nos. 101 to 180.

              SECTION I                            3.   Let K        R n be with the property
                                                        that any real valued continuous
1.   The set given by
                                                        function on K is bounded. Then K
             {1 ( 1)n |n   N}                           is :
     is :                                               (A) Bounded
     (A) {1, –1}                                        (B) Compact
     (B) N                                              (C) Derise

     (C) {0, 1}                                         (D) Connected

     (D) {0, 2}                                    4.   Suppose        a   bounded   function
                                                        f : [0, 1]    R is Riemann integrable.
2.   The number of non-empty subsets
                                                        Then which of the following is not
     of X = {1, 2, 3, 4, 5, 6, 7} containing            true ?
     only even integers is :                            (A) f is Lebesgue integrable

     (A) 7                                              (B) Riemann integral of f is same
                                                               as Lebesgue integral of f
     (B) 8
                                                        (C) f is not Lebesgue integrable
     (C) 1                                                     whenever f is discontinuous
     (D) 3                                              (D) |f| is Lebesgue integrable

                                               3                                       [P.T.O.
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5.   Let f : R   R be a function. Then                         8.   Suppose that { an , n         1} is a sequence
     which of the following is not true ?
                                                                    of real numbers such that each term
     (A) If f is continuous then so is |f|                          of the sequence is either 0, 1, 2, 3.
     (B) If f is integrable then so is |f|                          Let S be the set of all such sequences.
     (C) If f is differentiable then so                             Then, which of the following is
         is |f|                                                     true ?
     (D) If f is bounded then so is |f|
                                                                    (A) S is finite
6.   For n 1 , let An be the set of all
     irrational numbers in the interval                             (B) S is countable infinite
     [1 1 / n, 1 1 / n] . Then, which of                            (C) S is equivalent to the interval
     the following is true ?
                                                                         (0, 1)
     (A) lim sup A n                 {1}
                                                                    (D) S is equivalent to the set of all
     (B) lim inf A n                 {1}
                                                                         positive integers
     (C) lim A n
                                                               9.   Suppose that f 1 , f 2 and f 3 are
     (D) lim A n               {0}
                                                                    functions defined by :
7.   Suppose that f is a function defined
     by :                                                                f1 ( x)    x2 , 0    x

                       x   if              0 x ½                         f 2 ( x)   cos( x), 0     x     /2
          f ( x)
                       x ½ if              ½ x 1                                     sin( x) / x if     x     0
                                                                         f3 ( x )
                                                                                     1           if     x     0
                        1 1                  3
     If      M           ,  ,          N       ,1   and
                        4 2                  4                      Which of the above functions is /are

                                   1 1                              uniformly continuous on their
     Q             x| f ( x)        ,       , then which
                                   4 2                              respective domains ?
     of the following is true ?                                     (A) None of the three functions
     (A) Q = M
                                                                    (B) Only f1 and f2
     (B) Q             N
                                                                    (C) Only f1 and f3
     (C) Q             M       N
     (D) Q             M       N                                    (D) Only f2 and f3

                                                           4
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10. Consider the function f : R 2                 R         12. Let A be a 4 × 3 matrix and B a
    defined by :                                                3 × 4 matrix. Which of the following
                                                                is always true ?
                  x2   y 2 , if       x 0, y 0
      f ( x, y)
                  1,                  otherwise .               (A) det (AB) = 0, det (BA) need not
                                                                    be zero
    Which of the following statements
                                                                (B) det (AB) and det (BA) need not
    is/are true ?
                                                                    be zero
    S1 : f is discontinuous at (0, 0)
                                                                (C) det (AB) = det (BA) = 0
    S2 : lim  lim f ( x, y)
          y 0 x 0
                                  lim lim
                                  x   0 y   0
                                                                (D) det (AB) = 0 only if either
                                            f ( x, y)               AB = 0 or BA = 0

    S 3 : lim
           x 0
               f ( x, y) is continuous at                   13. The system of linear equations is
            y = 0                                               consistent :

    (A) Only S1 and S2
                                                                                   x1
                                                                     2 0       6        b1
    (B) Only S1                                                                    x2
                                                                     2 2       4        b2 .
                                                                                   x3
    (C) Only S3

    (D) Only S2 and S3                                          (A) Only if b1 = 4 and b2 = –12 and
                                                                    has a unique solution
11. The dimension of the vector space
    over R of all 5 × 5 upper triangular                        (B) For all values of b1 and b2 and
    matrices with complex entries is :                              has a unique solution
    (A) 30                                                      (C) Only if b1 = 4 and b2 = –12 and
    (B) 20                                                          has infinitely many solutions

    (C) 25                                                      (D) For all values of b1 and b2 and
    (D) 15                                                          has infinitely many solutions

                                                        5                                      [P.T.O.
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14. Let A be a 6 × 7 matrix of rank 6                            1 2 0
    and B be a 7 × 5 matrix of rank 4,          17. Let A              . Then, singular
                                                                 0 1 2
    then the rank of AB is :
                                                    values of A :
    (A) 5
                                                    (A) are 7 and 3
    (B) 6
    (C) 4                                           (B) are      3 , 2 and 1

    (D) Cannot be determined exactly,               (C) do not exist
           but less than or equal to 4
                                                    (D)    7 and        3
15. Let T be a linear transformation
    from R3 to R given by                       18. Let A and B be similar matrices.

       T[x, y, z]T = 2x – 5y + 9z,                  Consider the following statements :

    where [x, y, z]T donote the transpose           (i)   tr A   tr B
    of the vector [x, y, z]. Then, the
                                                    (ii) det A = det B
    dimension of the null space of T
    is :                                            (iii) Characteristic polynomial of A

    (A) 0                                                 is equal to the characteristic

    (B) 1                                                 polynomial of B
    (C) 2                                           (iv) Minimal polynomial of A is
    (D) 3                                                 equal to the minimal polynomial
16. Let P : R 3      R 3 represent the
                                                          of B
    projection of R3 onto xy-plane along
    z-axis. Then :                                  (A) All the statements are true

    (A) P2 = I
                                                    (B) None of the statement is true
    (B) P3 = P
                                                    (C) Only (i), (ii), (iii) are true
    (C) P is invertible
    (D) P is not diagonalizable                     (D) Only (ii), (iii), (iv) are true

                                            6
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19. Let A be an n × n nilpotent non-zero             22. Which of the following is false ?

     real matrix. Then :                                 (A) log z      ln| z| i arg z,                   z    0
                                                             and           arg z
     (A) In + A is invertible                            (B) cos2 z      1 sin 2 z for all z C
     (B) In – A is invertible                            (C) cosh 2 z sinh 2 z 1                  for         all
                                                             z C
     (C) A is invertible
                                                         (D) log ( z1 z2 ) log z1         log z2 for all
     (D) A is diagonalizable                                 z1 , z2 C \{0}
                                                     23. Suppose z10 1 and z 1 . Which of
20. Let A be a 4 × 4 real orthogonal
                                                         the following statements is false ?
     matrix with determinant –1. Then
                                                         (A) 1 z z2           ...... z9       0
     the determinant of I4 – A is :                      (B) 1     z2    z4    ......   z18       0
     (A) 0                                               (C) 1 . z . z2 . z3 . ..... . z9         1
                                                         (D) 1 . z2 . z4 . z6 . ..... . z18           1
     (B) 1
                                                     24. Consider the              following              two
     (C) 2                                               statements :

     (D) 5                                               (i)   Every harmonic function u on
                                                               C has a harmonic conjugate.
               SECTION II
                                                         (ii) If u and v are harmonic
                               1                              conjugates of each other on a
21. The function f ( z)          has primitive
                               z
                                                              disk D, then u and v are
     in the domain :
                                                              constant on D.
     (A) { z C |1 | z| 2}                                Then :

     (B) { z                                             (A) Only (i) is true
               C || z|    2}
                                                         (B) Only (ii) is true
     (C) { z C |1 | z|}
                                                         (C) Both (i) and (ii) are true
     (D) { z   x   iy    C| x     2}                     (D) Both (i) and (ii) are false

                                                 7                                                    [P.T.O.
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25. Which of the following Möbius                           27. Which of the following statements

   transformations maps the unit disk                           is false for an entire function f ?

   onto itself ?                                                (A) If   f ( x)   0     x   [ 1, 1] , then

                       2z i                                          f   0
   (A) f ( z)
                       2 zi
                                                                (B) If A is an uncountable set in
                       i z
   (B) f ( z)                                                        C and f ( z)       0    z    A , then
                       i z
                                                                     f   0
                       2z 1
   (C) f ( z)
                       2 z                                      (C) If { an } is a sequence of distinct
                       iz 1                                          complex numbers and f (an )         0
   (D) f ( z)
                        z i
                                                                     for all n, then f        0
26. Let            f    be    analytic             on
                                                                (D) f (1 / n)     0    n    1 , then f   0
    D     {z       C /| z| 3} such that :
                                                            28. Suppose f ( z)        u iv is an entire
           1           2n 1
    f 1                     , n   1, 2, ........                function. Which of the following is
           n            n 1
                                                                true ?
   Then f(z) =
                                                                (A) If u     0 , then f is unbounded
       2z 1
   (A)
         z                                                           on C

               z                                                (B) If | f ( z)| | z| for all z, then
   (B)
          z 1
                                                                     f is constant
          z 1
   (C)                                                          (C) If u is bounded, then v is
           z
                                                                     bounded
               z
   (D)
          z 1
                                                                (D) If u     0 , then v      0

                                                        8
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29. Suppose f : C             C is an analytic        32. The       value     of   the      integral
    one-one function. Then which of the
                                                              z3
    following statements is false ?                                dz ,       where         (t)     2eit ,
                                                           ( z 3)3
    (A) f is a polynomial of degree one
                                                          t [0, 2 ] is :
    (B) f is an open map                                  (A) 18
    (C) f is an onto map                                  (B) 18        i
    (D) f '( z)        0 for some z C                     (C) 6     i
                        1
                                                          (D) –2        i
30. Let f ( z)         e z and g( z)   e z and

                              1                                                             ez 1
     A           z / 0 | z|                           33. The residue of           f ( z)        at
                                .                                                             z2
                              2
                                                          z = 0 is :
    Then, on A :
                                                          (A) 0
    (A) f is one-one but g is not one-one

    (B) f is not one-one but g is one-one                       1
                                                          (B)
                                                                2
    (C) Both f and g are one-one
                                                          (C) 1
    (D) Neither f nor g is one-one
                                                          (D) 2
31. If all roots of the polynomial
    1 z          z2   ..... z10 are in the disk       34. The image the circle
    B(0, R), then :
                                                                c    {z     C :| z 1| 1}
                 1 2 z 3 z2 ..... 10 z9                                                 1
                                        dz
                 1 z z2 ..... z10                         under the map f ( z)            is :
         |z| R                                                                          z

    (A) 0                                                 (A) a circle

    (B) 10                                                (B) a line

    (C) 10 i                                              (C) a parabola

    (D) 20 i                                              (D) an ellipse

                                                  9                                               [P.T.O.
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35. Which of the following polynomial           38. Consider the following statements :
    is reducible over the rationals ?
                                                    (I)   3 is prime in the integral
    (A) x11 – 11x – 11                                    domain Z [ i 5]
    (B) x10 – 7                                     (II) 2 is a prime element in Z / 10 Z
    (C) x5 – 5                                           but not irreducible in Z / 10 Z
    (D) x9 + 5x5 + x4 + 5
                                                    Which is correct ?
36. Which is correct ?
                                                    (A) Only (I) is true
    (A) The polynomial ring K[x] over
                                                    (B) Only (II) is true
        a field K is local
                                                    (C) Both (I) and (II) are true
    (B) The additive group of rationals
        has a maximal subgroup                      (D) Neither (I) nor (II) is true
    (C) Any ring (may not have unity)           39. Which of the following is false ?
        has a maximal ideal                         (A) In a commutative ring with
    (D) Any finitely generated ideal of                 unity, every prime ideal is
        a Boolean ring is principal                     maximal
37. Consider the following statements :             (B) In a commutative ring with
    (I)   A p-sylow subgroup of the                     unity, every maximal ideal is
          underlying additive group of a                prime
          finite commutative ring R with            (C) In a Boolean ring with unity,
          unity is an ideal of R.                       every prime ideal is maximal
    (II) If M is a maximal ideal of a
                                                    (D) In a Boolean ring with unity,
         commutative ring R and R* be
                                                        every maximal ideal is prime
         the group of units of R. Such
         that R is a disjoint union of M        40. Let G be a finite abelian group. If
         and R*, then R has a maximal               n N and |G| are relatively prime,
         ideal other than M.                        then the function Q : G  G defined
    Which is true ?                                 by Q( a) an is :

    (A) Only (I) is true                            (A) homomorphism but not 1 – 1
    (B) Only (II) is true                           (B) homomorphism but not onto
    (C) Both (I) and (II) are true                  (C) isomorphism
    (D) Neither (I) nor (II) is true                (D) not a homomorphism

                                           10
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41. Let G be a group and a map                   43. Consider the following statements :
    Q:G       G defined by Q(a) = a–1.               (I)   If n   5 , then all cycles of
    Then which of the following is                         length 3 are conjugates in An.
    false ?
                                                     (II) Two elements of An that are
    (A) Q is bijective
                                                           conjugates in S n are always
    (B) Q is a homomorphism if G is
                                                           conjugates in An also.
          abelian
                                                     Which is correct ?
    (C) Q is a homomorphism only if G
                                                     (A) Only (I) is true
          is abelian
                                                     (B) Only (II) is true
    (D) Q is a homomorphism, if G is
          any permutation group                      (C) Both (I) and (II) are true

42. Consider the following statements :              (D) Neither (I) nor (II) is true

    (I)   If G is a finite group that has        44. Consider the following statements :
          only 2 conjugate classes, then
                                                     (I)   Every finite group is isomorphic
          |G| = 2.
                                                           to a subgroup of the alternating
    (II) If G is a group and a     Z(G) ,                  group An for some n > 1.
          the center of G, then the
                                                     (II) The symmetric group S n is
          conjugacy class of a is {e, a},
                                                           nilpotent for n   3.
          where e is the identity of G
                                                     Which is correct ?
    Which of the following is true ?
                                                     (A) Only (I) is correct
    (A) Only (I) is true

    (B) Only (II) is true                            (B) Only (II) is correct

    (C) Both (I) and (II) are true                   (C) Both (I) and (II) are correct

    (D) Neither (I) nor (II) is true                 (D) Neither (I) nor (II) is true

                                            11                                      [P.T.O.
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45. The number of words of three                 48. If F is a finite field of characteristic
    distinct letters formed from the                  p, a prime, then for some integer

    letters of the word “PNTU” is :                   n 1 :
                                                      (A) F $ Z pn
    (A) 24
                                                      (B) F $ Fp % Fp % ..... % Fp (n times)
    (B) 24                                                 where F p is the field of p
    (C) 42                                                 elements

    (D) 4 6                                           (C) F is the splitting field of
                                                                n
                                                           xp          x       Fp [ x ]
46. Suppose that for any group of n
                                                      (D) F is the splitting field of
    people has the property that at least                      n
                                                           xp         1    Fp [ x ]
    two of them have birthdays that
                                                 49. The closed unit ball centered at
    occur on the same day of the week.
                                                      origin is compact in :
    Then which one of the following
                                                      (A) Finite dimensional normed
    must be the value of n ?                               linear space
    (A) 10                                            (B) (C[0, 1],                   )
    (B) 7                                             (C) (L1 [0, 1],             1   )

    (C) 6                                             (D) (L2 [0, 1],              2   )
                                                 50. Let S1   {( x, y) R 2 / x2             y2   1} be
    (D) 5
                                                      the unit circle and
47. Let Fq be a finite field with q odd
                                                          D         {( x, y)      R 2 /| x| 1,| y| 1}
    and       ! a and "          # a.
                                a Fq\{0}
                                                      Then :
              a Fq

                                                      (A) S1 is homeomorphic to R
    Then :
                                                      (B) S1 is not homeomorphic to D
    (A)       0 and "       1
                                                      (C) S 1 is homeomorphic to an
    (B)       1 and "       1
                                                           interval in R
    (C)       0 and "   1
                                                      (D) D is homeomorphic to an
    (D)       1 and "   1
                                                           interval in R

                                            12
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51. Let X     A   B where A and B                54. Which of the following is true ?
    are connected sets such that
                                                     (A) A metric space is always
    A B = . Let f : X   f ( x) & R be
                                                         compact
    a homeomorphism. Then :
    (A) f(X) is always a finite subset               (B) A metric space is always
        of R                                             Hausdorff
    (B) f(X) is a singleton set
                                                     (C) A metric space is always
    (C) f(X) is an interval in R
                                                         connected
    (D) f(X) is not connected
                                                     (D) A metric space is always
52. Which of the following sets are
    homeomorphic ?                                       complete

    (A) Square and Parabola                      55. Let A and B be connected sets.
    (B) Square and Ellipse                           Then :
    (C) Ellipse and Parabola                         (A) A    B is connected if A    B
    (D) Parabola and Hyperbola
                                                     (B) A    B is connected if A    B
53. A topological space X is regular
    if :                                             (C) A \B is connected if B & A
    (A) Singleton sets are closed sets               (D) A \B is connected if B ( A
    (B) For each pair x X and an                 56. Let C[0, 1] denote the space of
        open set B in X with x ' B there
                                                     continuous functions on [0, 1] with
        exists an open set U such that
        x U and u B                                  sup norm         and G denotes the
    (C) For each pair x X and a closed               set of all constant functions on
        set B in X with x ' B there                  [0, 1]. Then :
        exists an open set U such that
                                                     (A) G is bounded subset of C[0, 1]
        x U and u B
    (D) For each pair x X and a closed               (B) G is dense in C[0, 1]
        set B in X with x ' B there exist            (C) G is closed subset of C[0, 1]
        an open sets U, V such that
         x   U , B & V and U      V                  (D) G is compact subset of C[0, 1]

                                            13                                      [P.T.O.
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57. Let X be a topological space with a               59. Let A   {( x, y) / y2   x2   y2   1} and
    subspace Y. Which of the following                     f :A   R be a continuous map.
    statements is false ?
                                                          Which of the following is false ?
    (A) A set F is closed in Y iff
                                                          (A) f(A) is an interval
         F       F1   Y where F1 is closed
                                                          (B) f(A) is a bounded set
        in X

    (B) A set B is open in Y iff                          (C) f(A) is a closed set

         B       B1   Y where B1 is open                  (D) f(A) is a union of two disjoint
        in X                                                  intervals
    (C) A set C is connected in Y
                                                      60. Let X = [0, 1) × [0, 1), Y = [0, 1]
        iff C         C1   Y where C 1 is
                                                          × (0, 1) and Z = [0, 1) × (0, 1] be
        connected in X
                                                          subspaces of the Euclidean space
    (D) A set K is compact in Y iff
                                                          R2. Then :
         K       K1    Y     where     K1   is
                                                          (A) X is homeomorphic to both Y
        compact in X
                                                              and Z
58. Consider the set :

             A    {( x, y) / xy   0}                      (B) X is homeomorphic to Y but not

    Which of the following is false ?                         homeomorphic to Z

    (A) A is closed in R2                                 (C) X is homeomorphic to Z but not

    (B) A is path connected                                   homeomorphic to Y

    (C) A is connected                                    (D) X is not homeomorphic to Y and

    (D) A is not connected                                    not homeomorphic to Z

                                                 14
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61. If c1    c2 ln x is the general solution                  64. Which of the following is false :
    of differential equation :
                                                                  (A) If 1, 2 are linearly independent
        d2 y        dy
      x2 2       Kx         y       0, x > 0                          functions on I, they are linearly
        dx          dx
    then K equals :                                                   independent on any interval J
    (A) 2                                                             contained in I
    (B) 3
                                                                  (B) If 1, 2 are linearly dependent
    (C) –1
    (D) –3                                                            functions on I, they are linearly
62. The initial value problem :                                       dependent on any interval J
            dy                                                        contained in I
                  | y|, y(0)         0,
            dx
    (A) has no solution                                           (C) If 1, 2 are linearly independent
    (B) has unique solution                                           solutions of a second order
    (C) has non-zero solution
                                                                      differential equation L(Y) = 0 on
    (D) has more than one solution
63. The differential equation :                                       an interval I, they are linearly

                 y " ex y       0                                     independent on any interval J

    has a series solution y( x)           ! ax
                                          k 0
                                                k
                                                    k                 contained in I

    which satisfies x(0) 1 and x '(0)               0.            (D) If 1, 2 are linearly dependent

    Then the values of the coefficients a0,                           solutions of a second order
    a1, a2 are :
                                                                      differential equation L(Y) = 0 on
    (A) a0 = 1, a1 = 0, a2 = – ½!
                                                                      an interval I, they are linearly
    (B) a0 = 1, a1 = 1, a2 = 2!
                                                                      dependent on any interval J
    (C) a0 = 0, a1 = 1, a2 = 2!
    (D) a0 = 1!, a1 = 2!, a2 = 3!                                     contained in I

                                                         15                                    [P.T.O.
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65. Consider the following statements :                    67. The initial value problem

    (I)     f ( x, y)       xy2 satisfies Lipschitz                     y'    2 y , y(0)            a

           condition on the rectangle                          has :

           | x| 1 , | y| 1 .                                   (A) a unique solution if a < 0

                                                               (B) no solution if a > 0
    (II) f ( x, y)          xy2 satisfies Lipschitz
                                                               (C) infinitely many solutions if a = 0
           condition on the strip | x| 1 ,
                                                               (D) a unique solution if a                   0
           | y|         .
                                                           68. Which one of the following is not the
    Then :                                                     general solution of the partial

    (A) Only (I) is true                                       differential equation :

    (B) Only (II) is true                                               z( xp      yq)    y2       x2

                                                               (A) x2        y2    z2     f ( xy)
    (C) Both (I) and (II) are true
                                                               (B) x 2       y2    z2     f (( x    y)2   z2 )
    (D) Both (I) and (II) are false
                                                               (C) x 2       y2    z2     f ( y / x)
66. The Wronskian of the solutions of
                                                               (D) ( x       y)2   z2     f ( xy)
    the differential equation
                                                           69. A partial differential equation which
           y"     6y"       12 y '   8y   0                    represents a surface of revolution

    is :                                                       obtained by revolving a plane curve
                                                                f ( x, y)    0 about x-axis is :
    (A) 2e6x
                                                               (A) yp – xq = 0
    (B) 3e3x
                                                               (B) xp – yq = 0
    (C) 4e2x                                                   (C) y + zq = 0
    (D) 2e2x                                                   (D) x + zp = 0

                                                      16
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70. Consider the following two first order             72. The solution of the first order
     partial differential equations
                                                           partial      differential            equation
              xp – yq = x ................. (1)
                                                           f ( x, y, z, p, q)    0     of   the    form
     and x2p + q = xz ................ (2)
                                                           F(u, v)    0 , where u and v are
     Then :

     (A) they have common solutions                        functions of x, y, z is called :

     (B) every solution of (1) is also the
                                                           (A) complete integral
          solution of (2)

     (C) every solution of (2) is also the                 (B) general integral

          solution of (1)
                                                           (C) particular integral
     (D) they do not have any common
          solutions                                        (D) singular integral

71. The characteristic curve and the
                                                       73. The region in which the partial
     envelope of the one parameter family
     of surfaces                                           differential equation

          ( x a)2      ( y 2a)2    z2   1                         (1 x 2 ) uxx       uyy    0
     are :
                                                           is an ellipse if :
     (A) the great circle of the sphere and
          ( y 2 x)2     5 z2   5 respectively
                                                           (A) x > 1
     (B) any circle on the sphere and
          ( y 2 x)2     2 z2   2 respectively              (B) x < 1

     (C) exactly the same great circles
                                                           (C) |x| > 1
     (D) a circle on the sphere and
             x2   y2   1, z    2a respectively             (D) |x| < 1

                                                  17                                              [P.T.O.
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74. The partial differential equation                   76. Let E be the shift operator and µ

           )2 z        )2 z                                 be the averaging operator. Then :
                   y          0, y > 0
           )x 2        )y 2

    is :                                                    (A) µ    E½           E ½

    (A) hyperbolic
                                                                     E½        E ½
                                                            (B) µ
                                                                              2
    (B) parabolic

    (C) elliptic                                                     E½        E ½
                                                            (C) µ
                                                                              2
    (D) Laplacian

                                                                     E½        E ½
75. The partial differential equations                      (D) µ
                                                                              3


     f ( x, y, p, q)    0 and g( x, y, p, q)   0                    dy
                                                        77. Let              1 xy           with   y(0)   2.
                                                                    dx
    are compatible if :                                     Using Picard’s method, the first

        )( f , g)         )( f , g)                         approximation is :
    (A) )( x, z)                      0
                          )( y, z)

                                                            (A) y1       x    x2
        )( f , g)         )( f , g)
    (B) )( x, z)                      0
                          )( y, z)
                                                            (B) y1       2    x       x2
        )( f , g)         )( f , g)
    (C) )( x, p)                      0
                          )( y, q)
                                                            (C) y1       20       x    x2

        )( f , g)         )( f , g)
    (D) )( x, p)                      0
                          )( y, q)                          (D) y1       2 x

                                                   18
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                 1                                       80. A n × n matrix A is diagonally
78. If f ( x)       , then the first divided
                 x2                                          dominant of :
     difference [a, b] is :
                                                             (A) The absolute value of each

            (a b)                                                   leading diagonal element is
     (A)    a2 b2                                                   greater than or equal to the
                                                                    sum of the absolute values of the
            (a b)                                                   remaining elements in that row
     (B)
            a2 b2
                                                             (B) The value of the diagonal

           a b                                                      element is maximum in that
     (C)
            ab                                                      row

                                                             (C) The value of the diagonal
         a b
     (D)                                                            element is greater than or equal
          ab
                                                                    to the sum of the values of
        dy
79. Let          f ( x, y) be an initial value
        dx                                                          remaining elements in that row
     problem with y( x0 )            y0 . Then in
                                                             (D) All diagonal elements are zero
     Runge-Kutta method of order 4,
     the value of K 3 to find first                      81. The value of
     approximation is :
                                                             *10 [(1 x) (1 2 x2 ) (1 3 x 3 ) (1 4 x4 )]
     (A) K 3     h( f ( x0 , y0 ))
                                                             is :
     (B) K 3     h( f ( x0   h, y0      h))
                                                             (A) 24 × 10 !
                                h         k2
     (C) K 3     h f x0           , y                        (B) 24 × 8 !
                                2 0       2
                                                             (C) 12 × 10 !
                                h         k1
     (D) K 3     h f x0           ,y
                                2 0       k2                 (D) 12 × 8 !

                                                    19                                         [P.T.O.
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82. The curve for which the area of                            84. The first integral of Euler-Lagrange’s

    surface of revolution is minimum                                differential equation of the functional
    when revolved about x-axis is the
                                                                                   x2
    solution of the equation :                                      I ( y( x))           f ( x, y ', y ") dx
                                                                                   x1


    (A) ay '               y2      a2 , a is a constant             is :

                                                                                       )f          )f
                  2        2                                        (A) f         y'          y"            constant
    (B)       y           a y'          a                                              )y '        )y "

                                                                           )f          d )f
    (C)       x2          a2 y '        a                           (B)                                   constant
                                                                           )y '        dx )y "

    (D) ay '               x2      a2                                      )f          d )f
                                                                    (C)                                   constant
                                                                           )y '        dx )y "
83. The Euler-Lagrange’s differential
    equation for extremization of the                                      )f      d )f
                                                                    (D)                              constant
    functional                                                             )y      dx )y '

                               1
           I ( y( x))              ( y '2 y2 ) dx              85. The extremal of the functional
                               0                                                  1
                                                                                        y2
    subject to the condition that                                   I( y( x))              dx , when x(0)              0,
                                                                                  0
                                                                                        x3

        ydx           1                                             x(1) 1 is :
    0


    is :                                                            (A) y = x

    (A) y" – y = 0
                                                                    (B) y = c
    (B) 2y" + 2y = +
                                                                    (C) y = x4
    (C) y" + y = 0

    (D) y" – y = +                                                  (D) y = 0

                                                          20
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86. The solution of the functional                      89. The nontrivial solution of the
                 x2
                                                            integral equation
    I( y( x))         f ( x, y, y ") dx is a :
                 x1
                                                                                       1

    (A) one parameter family of curves                                x( t )       +       et s x(s) ds
                                                                                       0
    (B) two parameter family of curves
    (C) three parameter family of                           is :
        curves
                                                            (A) t
    (D) four parameter family of curves
87. Let B be a Banach space. Then                           (B) t 2
    f :B        R is said to be coercive
                                                            (C) et2
    if :
    (A) f ( x)                 as       x   0               (D) et

    (B) f ( x)        0 as          x                   90. The Volterra integral equation
    (C) f ( x)                 as       x
                                                                                    t
    (D) f ( x)                 as       x                          x( t )      t           (s t) x(s) ds
                                                                                   0
88. The following integral equation
                          2
                                                            is equivalent to the initial value
      x( t )    sin t +         sin(t s) x(s) ds            problem :
                           0
                                                            (A) x "( t)            x( t )     0,           x(0)   0,
    is :                                                             x '(0)        1
    (A) Fredholm integral equation of
        second kind                                         (B) x "(t)             x( t )     0,           x(0)   1,
                                                                     x '(0)        0
    (B) Fredholm integral equation of
        first kind                                          (C) x "(t)             x '(t)      0,          x(0)   1,
    (C) Volterra integral equation of                                x '(0)        0
        second kind
                                                            (D) x "(t)             x '(t)      0,          x(0)   0,
    (D) Volterra integral equation of
                                                                     x '(0)        1
        first kind

                                                   21                                                       [P.T.O.
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91. For a homogeneous Fredholm                        93. Eigen values of the homogeneous
    integral equation with separable
    kernel :                                              Fredholm integral equation
                         b                                                 2
           x( t )   +        k(t, s) x(s) ds ,              x( t )     +       sin (t s) x(s) ds
                         a                                                 0

    consider the following statements :
                                                          are :
    (I)    If   Fredholm determinant
           D( +) 0 , then integral equation               (A) 1, –1
           has only trivial solution i.e.
                                                          (B)        , –
           x(t) = 0.
    (II) If    Fredholm determinant                       (C) 1,
           D( +) 0 , then integral equation
                                                          (D) 1/ , –1/
           has infinitely many solutions.
    Then :                                            94. A particle is thrown horizontally
    (A) Only (I) is true                                  from the top of a building of height
    (B) Only (II) is true                                 h with initial velocity u. Neglecting
    (C) Both (I) and (II) are true
                                                          all other forces except the gravity
    (D) Both (I) and (II) are false
                                                          and the air resistance which is
92. The Neumann series solution of the
                                                          proportional to the velocity of the
    Volterra integral equation
                                                          particle, then the equations of motion
                             t
      x( t ) 1 t                 (t s) x(s) ds            are given by :
                             0


    is :                                                  (A) x        0, y      g   0

    (A) x(t)        log t                                 (B) mx kx             0 , my ky mg       0
    (B) x(t)        cos t
                                                          (C) mx           kx mg      0 , my ky    0
    (C) x(t)        sin t
    (D) x(t)        et                                    (D) mx kx             0 , my ky mg       0

                                                 22
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95. The Lagrangian of a particle of mass           97. Let pj and p 'j are the components
    m moving on the xy-plane which is                  of the canonical momenta corres-
    rotating about z-axis with angular                 ponding to the Lagrangians L and
    velocity , is given by :                           L' respectively, where

       1                                                         dF
   L     m[( x ,y)2     ( y ,x)2 ] V( x, y)             L'   L      and F           F ( q j , 1) .
       2                                                         dt

    Then :                                             If H and H' are the Hamiltonians
                                                       corresponding to L and L', then :
    (A) Linear momenta px and py are
         conserved                                     (A) H' = H

    (B) Hamiltonian H is conserved                                       )F
                                                       (B) H'    H
                                                                         )t
    (C) The total energy E is conserved
                                                                         )F
    (D) Hamiltonian H represents the                   (C) H'    H
                                                                         )q j
         total energy
96. Let L be a Lagrangian of a particle                                  )F
                                                       (D) H'    H
    and p j and q j are respectively                                     )t
    the conjugate momentum and                     98. A particle of mass m is attached to
    generalised velocity. Then which
                                                       one end of the string and the other
    one of the following represents the
    Lagrange’s equation of motion ?                    end at a distance r is fixed in space.
                                                       If the particle starts with velocity
              )L
    (A) p j   )q j                                     u from its lowest position, then the
                                                       velocity of the particle at any
              )H
    (B) q j   )q j
                                                       angular distance - is given by :

                                                       (A) v2    u2   2 gr (1 sin -)
              )L
    (C) p j   )q j                                     (B) v2    u2   2 gr (1 cos -)

                                                       (C) v2    u2   2 gr (1 cos -)
               )L
    (D) q j    )p j                                    (D) v2    (r-)2

                                              23                                               [P.T.O.
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99. The first integral of equation of                                    SECTION III
    motion of the simple pendulum
                                                             101. Which of the following is not true
    represents :
                                                                 for an exponential distribution ?
     (A) Only the total energy E
                                                                 (A) It satisfies the lack of memory
     (B) Only the Hamiltonian H
                                                                     property
     (C) Both the Hamiltonian H and
         the total energy E                                      (B) The hazard rate is constant

     (D) Neither the Hamiltonian H nor                           (C) The distribution of nth order
         the total energy E                                          statistics is exponential
                                                                 (D) The distribution of the first
                   cos -       sin - 0
                                                                     order statistics is exponential
100. If    A           sin - cos - 0           is the
                       0           0       1                 102. Consider      the     following   two
                                                                 statements :
     matrix of orthogonal transformation
     of a rigid body with one fixed, then                        (1) The correlation coefficient
     A–1 is given by :                                               between two variables X and Y
                                                                     is the geometric mean of two
               cos -       sin - 0                                   regression coefficients "YX and
               sin -       cos -       0
     (A)                                                             "XY.
                 0           0         1
                                                                 (2) The arithmetic mean of the two

                 0          0    1                                   regression coefficients "YX and
               cos -       sin - 0                                   "XY is greater than or equal to
     (B)
               sin -       cos -       0                             the correlation coefficient
                                                                     between X and Y.
               1   0            0                                Which of the above statement(s)
     (C)       0 cos -         sin -                             is/are true ?
               0 sin -        cos -
                                                                 (A) Only (1)

               1       0           0                             (B) Only (2)

     (D)       0   cos - sin -                                   (C) Both (1) and (2)
               0    sin - cos -                                  (D) None of (1) and (2)

                                                        24
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103. The ogive more than and ogive                105. Which of the following is the smallest
     less than of the following grouped
                                                       field containing a non-empty subset
     data
                                                       A of . ?
        Class        Frequency
         0—8               8                           (A) Trivial field
        8—20              12
                                                       (B) {A, AC, , .}
       20—30              18
       30—35              10                           (C) Power set of .

       35—40               4
                                                       (D) None of the above
     intersect at which of the following
     points ?                                     106. Which of the following statements

     (A) 23.00                                         cannot be always true ?
     (B) 23.33
                                                       (A) Let X : .        . * and if /j be the
     (C) 23.67
                                                           0-field of subsets of .*, then
     (D) 24.00
                                                            X 1 (/ j ) is also 0-field
104. Suppose a class contains 44 students.
     On March 10, 25 students were
                                                       (B) 0{X 1 (/)       X 1 {0(/)} where, /
     present in the class and on March
     16, 30 students were present in the                   denote the class of subsets of
     class. Then the minimum number                        .* and X : .          .*
     of students who were present in
     the class on March 15 as well as                  (C) If          B     C    ,         then
     March 16 is equal to :                                 X(B)    X(C)                   where
     (A) 5
                                                            X(A) = {X(w)|w       A}
     (B) 9
                                                       (D) X    0    and      E(X)    0,    then
     (C) 11
     (D) 14                                                X = 0 a.s.

                                             25                                            [P.T.O.
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107. Let . = {1, 2, 3, ...., 10}, A = {1, 2}
                                                     109. The joint probability mass function
     and F = { , A, AC, .}, consider the
     following functions :                               PX,Y of the random variables X and

           X(w)   100       w    .                       Y is as given in the following
                   100      if   w   A                   table :
           Y(w)
                   400 if        w 'A
           Z(w)   w     w    .                       PX,Y (x, y)                  Y                 PX (x)

     Then which of the following is
     true ?                                                          1      2          3       4

     (A) Only X and Y are F-measurable
                                                              1    0.02    0.04       0.06   0.08     0.20
         r.v.s
     (B) All the functions X, Y and Z are
                                                        X     2    0.03   0.06        0.09   0.12     0.30
         F-measurable r.v.s.
     (C) Only X is a F-measurable r.v.
                                                              3    0.05    0.10       0.15   0.20     0.50
     (D) All the functions X, Y, Z are not
         F-measurable                                       PY (y) 0.10    0.20       0.30   0.40
108. Suppose that probabilities are
     assigned to the subsets of                          Then, which of the following
     . = {a, b, c, d, e, f } according to the
                                                         statements is true ?
     classical definition of probability.
     Which of the following statements
                                                         (A) E(Y)         E(X)
     is/are true for the sets A = {a, b},
     B = {b, d} and C = {a, c, d} ?                      (B) P(X > 2, Y > 2)
     (I)   C and A are independent
     (II) C and B are independent                                                   1 – P (X       2, Y 3)
     (III) C and A      B are independent
                                                         (C) X and Y are uncorrelated
     (A) Only (I) and (II) are true
     (B) Only (I) and (III) are true                     (D) X       and        Y     are      positively
     (C) Only (II) and (III) are true
                                                                  correlated
     (D) All the three are false

                                                26
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110. In order to detect an error, a                112. Suppose X is an arbitrary random
    computer program is being tested                   variable. Which of the following
    independently by three different
                                                       statements is true ?
    testers. The probabilities with which
    the testers can detect the error are                                   E(X 4 )
                                                       (A) P[|X| 3]
    0.2, 0.4 and 0.5 respectively. Then,                                    81
    which of the following statements is
                                                                           E(X 4 )
    false ?                                            (B) P[|X| 3]
                                                                            81
    (A) The probability that the error
        will not be detected is 0.24                                       E(X 4 )
                                                       (C) P[|X| 3]
                                                                            81
    (B) The probability that exactly one
        tester will find the error is 0.46                                 E(X 4 )
                                                       (D) P[|X| 3]
    (C) The probability that at least two                                   81

        testers will find the error is 0.30
                                                                               1
                                                   113. Suppose     (t)                is   a
    (D) All the above are false                                             (1 t 2 )

111. If E and F are events with                        characteristic function of a random
    P(E)      P(F)   and   P(E     F) 1 0 ,
                                                       variable X. Then E(X) and Var(X)
    then :
                                                       are respectively given by :
    (A) Occurrence of E 2 occurrence
        of F                                                 1 1
                                                       (A)    ,
    (B) Occurrence of F 2 occurrence                         2 8

        of E
                                                       (B) 0, 2
    (C) Non-occurrence of E 2 non-
        occurrence of F                                (C) 0, 1

    (D) None of the above implications                       1 1
                                                       (D)    ,
        hold                                                 2 16

                                              27                                       [P.T.O.
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114. Suppose the probability space               116. Suppose {X n , n    1} is a sequence
     (., A, P) is defined as follows :
                                                     of random variables defined as
     . [0, 1] , A is a sigma field of
    subsets of . and P is a Lebesgue                              1
                                                      Xn      1     X , where X is a discrete
    measure. Suppose a sequence                                   n
    {X n , n 1} of random variables is               random variable with support {0, 1}
    defined as X n (w) ew wn , n 1
    and a random variable X is defined
                                                                         2
                                                     and P[X        0]     . Following are
                                                                         3
    as X(w) ew on (., A, P) . Which
    of the following is not true as                  three statements :
    n      ?
    (A) Xn        X almost surely                    (I)   Xn     0 in probability
    (B) Xn        X in probability
    (C) Xn        X in distribution                  (II) X n     0 in law
    (D) Xn        X pointwise
115. Suppose {X n , n 1} is a sequence of
                                                     (III) X n    0 in quadratic mean
     random variables such that :

                         1
         P[X n    0] 1      and                      Which of the following options is
                         n3
                                                     true ?
                       1
         P[X n    n]      , n 1
                       n3
    Which of the following is not true ?             (A) Only (I) and (II) are true

    (A) Xn converges to 0 in probability
    (B) Xn converges to 0 in quadratic               (B) Only (II) and (III) are true

         mean
    (C) Xn does not converge to 0 almost             (C) Only (III) is true
         surely
    (D) Xn converges to 0 in law                     (D) All three are true

                                            28
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117. Let {X n , n   1} and X be random           118. Let {X n , n      1} be a sequence of

     variables defined on the same                    independent identically distributed

                                                      random variables with mean ‘0’ and
     probability space. Which of the
                                                      variance ‘2’. Let :
     following statements is not always
                                                                         n
     true as n        ?
                                                                   Sn    !X.
                                                                         i
                                                                               2
                                                                               i


     (A) If X n converges to X in
                                                      Which of the following statements
          probability and in distribution
                                                      is true ?
          then eXn converges to eX almost
                                                            Sn
          surely                                      (A)      converges to 0 almost surely
                                                            n
                                                            as n
     (B) If Xn converges to X almost
                                                            Sn
          surely then eXn converges to eX             (B)      converges to 2 almost surely
                                                            n
          in probability                                    as n

     (C) If X n converges to X in                           Sn
                                                      (C)           converges      to   0   in
                                                             n
          distribution then eXn converges
                                                            probability as n
          to eX in distribution

                                                                 Sn
     (D) If X n converges to X in                     (D)    n      converges in distribution
                                                                 2

          probability then eXn converges                    to a standard normal random

          to eX in distribution                             variable as n


                                            29                                          [P.T.O.
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119. Following are three statements. In                121. Suppose {X n , n    0} is a Markov
    a Markov chain, a persistent state
                                                           chain with state space S = {1, 2, 3}
    i is a null persistent if :
                   ( n)                                    and the transition probability matrix
    (I)   lim sup pii         0
    (II) mean recurrence time is                           P given by :

    (III) lim sup pii( n) 1 0
    Which of the following is true ?                                      1     2   3

    (A) Only (I) is true                                                 32    3     4
                                                                       1 55         06
                                                                               5
    (B) Both (I) and (II) are true                                       5           6
                                                                           3   5
                                                                   P   25           06
    (C) Only (III) is true                                               58    8     6
                                                                         51    1    16
    (D) Both (II) and (III) are true                                   35            6
                                                                         96    3    2:
120. Suppose {X n , n     0} is a Markov
    chain with state space S          {1, 2, 3}
    and the transition probability matrix                  Suppose X 0 = 3. Then realized

    P given by :                                           values of X1 and X2 corresponding

                   1      2       3                        to random numbers 0.36 and 0.64
               1 3 0.3     " 4
                  5                                        respectively, from U(0, 1) distribution
          P    2 0.4      0.16
                  5          6
               3 59 7 0.2 8 6:                             are :

    If P is a doubly stochastic matrix,
                                                           (A) X1 = 2 and X2 = 2
    the value of " :
    (A) Cannot be computed from the
                                                           (B) X1 = 1 and X2 = 1
          given information
    (B) is < 0.4                                           (C) X1 = 1 and X2 = 2
    (C) is > 0.4
    (D) is 0.4                                             (D) X1 = 2 and X2 = 1

                                                  30
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122. Suppose {X n , n     0} is a Markov            124. Suppose {X(t), t        0} is a pure birth
     chain with state space S = {1, 2, 3, 4}            process with birth rate + i       + for all
     and the transition probability matrix
                                                        i S and X(0) 0 . The following
     P given by :
                                                        are four statements.
                  1   2   3   4                         (I)   {X(t), t   0} is a process with
                  31      1  4                                stationary and independent
                1 52 0    2
                            06
                  5          6                                increments.
                     1      26
                2 50      0
                  5  3      36                          (II) E(X(t))     e +t
          P       52         6
                          1
                35   0      06                          (III) X(t) follows Poisson P(+t)
                  53      3  6
                  5                                           distribution for every fixed t.
                     1      36
                4 50      0  6
                  9  4      4:                          (IV) X(0) cannot be 0 in a pure birth
                                                              process.
     Which of the following options is
     true ?                                             Which of the following is true ?
     (A) States 1 and 3 are essential
          states                                        (A) Only (I) is true
     (B) States 1 and 3 are inessential                 (B) Only (I) and (II) are true
          states
     (C) States 1 and 3 are transient                   (C) Only (I) and (III) are true
          states
                                                        (D) Only (IV) is true
     (D) State 1 and 3 are null persistent
          states                                    125. Assume that X ~ B(n, p) for some
123. Which of the following options is
     true ?                                              n 1 and 0       p 1 and Y ~ Poisson
     Messages arrive on a mobile phone                  (+) for some +; > 0. Suppose
     according to the Poisson process
                                                        E(X) = E(Y). Then :
     with rate 5 messages per hour. The
     probability that no message arrives                (A) V(X) = V(Y)
     during 10 : 00 am to 12 : 00 noon
     is :                                               (B) V(X) < V(Y)
     (A) 2e–5                                           (C) V(X) > V(Y)
     (B) e –10
     (C) 1 – e–10                                       (D) V(X) may be larger or smaller
            2
     (D) e 5                                                  than V(Y)

                                               31                                           [P.T.O.
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126. Suppose X and Y are independently                    128. Suppose that X1, X2, ........, Xn are
                                                                 i.i.d. random variables such that X1
    and uniformly distributed random
                                                                 has uniform distribution over (0, -),
    variables on the interval (0, 1). Then                       - > 0. Then, which of the following
                                                                 statements is true ?
    the distribution of max (X, Y) is :
                                                                 (I) The conditional density f (.) of   y

    (A) Beta (1, 1)                                                   X(1)|X(n) = y is given by :

                                                                                         n –2
    (B) Beta (2, 2)                                                           1      x
                                                                      <(n 1).   1               ,if 0   x   y
                                                           f y ( x)           y      y
                                                                      <
    (C) Beta (1, 2)                                                     0,                       otherwise

    (D) Beta (2, 1)                                              (II) The conditional distribution of
                                                                      X(1)|X(n) = y does not depend
127. Suppose that X and Y are i.i.d.                                  on -.

    random variables with c.d.f. F which                         (A) Neither (I) nor (II) is true

    is binomial (n, p). Then,                                    (B) Both (I) and (II) are true
                                                                 (C) Only (I) is true
          P (X = j|X + Y = k)
                                                                 (D) Only (II) is true

    is equal to :                                         129. Suppose that F is a distribution
                                                                 function with mean support [0,              )
    (A) j/k, for j = 0, 1, 2, ......., k
                                                                 and mean µ. Then, what is the value
          k                                                      of the integral,
    (B)   j   pj qk–j, for j = 0, 1, 2, ...., k

                   k                                                         [F( x a) F( x)] dx ?
          k    1                                                         0
    (C)   j            , for j = 0, 1, 2, ...., k
               2                                                 (A) µ

          n    n           2n                                    (B) 0
    (D)   j    k j     /   n , for j = 0, 1,
                                                                 (C) a + µ
                                        2, ...., k               (D) a

                                                     32
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130. A geometric distribution with               132. Cramer-Rao lower bound of variance

    support {1, 2, ....} has variance 6.             for estimating the parameter - of the

    Then, the height of the jump at 2                distribution with pdf :

    is equal to :                                                        1       1
                                                           f ( x, -)
                                                                             1 ( x -)2
    (A) cannot be determined                                            x
                                                     where                      is :

    (B) 8/27                                               2
                                                     (A)
                                                           n
    (C) 2/27
                                                           1
                                                     (B)
                                                           n
    (D) 6/27
                                                           2
                                                     (C)
131. A random sample X1, X2, ....., Xn is                  n2
    drawn from a Poisson distribution                       1
                                                     (D)
    with parameter +. Which one of the                     2n

    following is an unbiased estimator           133. Based on a sample of size one from
    of +2 ?                                          Binomial (6, P), it is decided to test

                      2
                                                     the hypothesis Ho : P               1 / 2 Vs
                  n
          1
    (A)     !X
          n i1 i
                                                     Hi : P     1/4         using the critical
                                                     region X          3 . Then, the size of the
          1 n 2
    (B)     !X
          n i1 i
                                                     critical region would be :

                                                     (A) 15/64
              n
          1
    (C)     ! X (X 1)
          n i1 i i
                                                     (B) 35/64

                                                     (C) 22/64
        1 n
    (D)   ! X (X 1)
        n i1 i i                                     (D) 42/64

                                            33                                            [P.T.O.
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134. The following are some statements :          135. In the context of testing of statistical

    (I)   If T is a boundedly complete                 hypotheses, which one of the

          sufficient statistic for - and S             following statements is true ?

          is an ancillary statistic for -,             (A) When       testing     a   simple
          then T and S are independent.                     hypothesis H 0 against an
    (II) An ancillary statistic may or                      alternative simple hypothesis
          may not be independent of a                       H1, the likelihood ratio principle
          sufficient statistic.                             leads to the most powerful test

    (III) It is possible to have variance              (B) When testing a simple hypo-
          smaller than that of the                          thesis H0 against an alternative
          Cramer-Rao lower bound at                         simple hypothesis H1
          some points of the parameter
                                                            P{rejecting H0|H0 is true} +
          space.
                                                            P{accepting H0|H1 is true} = 1
    (IV) The parametric function need
                                                       (C) For testing a simple hypothesis
          not be differentiable for the
                                                            H 0 against an alternative
          Cramer-Rao lower bound to
                                                            simple hypothesis H1, rando-
          hold.
                                                            mized test is used to achieve
    Which of the following options is
                                                            the desired level of the power
    true ?
                                                            of the test
    (A) (I), (II) and (III) only
                                                       (D) UMP tests for testing a simple
    (B) (II), (III) and (IV) only
                                                            hypothesis H 0 , against an
    (C) (I), (III) and (IV) only                            alternative composite H 1 ,
    (D) (I), (II) and (IV) only                             always exist

                                             34
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136. Let X1, X2, ......, Xn be independently        138. Which of the following probability
     and normally distributed with
                                                         laws is not a member of an
     mean 0 and variance 02. What is
     the minimum variance unbiased                       exponential family ?
     estimator of 02 ?
                                                         (A) f ( x, -)   - (1 x)- 1 ,   0    x 1,
                 n
            1
     (A)
           n 1
               !Xi 1
                       2
                       i                                      -10

            1    n                                       (B) f ( x, -)   - x (1 -)1 x , x = 0, 1,
     (B)        ! (X i
           n 1 i1
                           X)2
                                                              0   - 1
           1 n
     (C)     !
           n i1
                X 2i                                     (C) N(-, -2 ) , - R

         1 n                                             (D) N(-, -) , - 1 0
     (D)   ! (X i
         n i1
                       X)2
                                                    139. Suppose {X 1, X 2, ......., X n } are
137. A Statistics professor wants to see
     if more than 80% of her students                    independent random variables,
     enjoyed taking her class. At the end                where Xi follows uniform U(0, i-)
     of the term, she takes a random
     sample of students from her large                   distribution for i = 1, 2, ......., n.
     class and asks in an anonymous                      Which of the following statements
     survey, if the students enjoyed
                                                         is true ?
     taking her class.
     Which of the following set of
                                                             2 n Xi
     hypotheses should she set ?                         (A)  !
                                                             ni1 i
                                                                    is not consistent for -
     (A) H0 : p = 0.80 against
                          H1 : p < 0.80                  (B) Sample mean is consistent for -
     (B) H0 : p > 0.80 against
                          H1 : p = 0.80                                   X2 X3          X
                                                         (C) max X1 ,       ,   , ......, n      is
     (C) H0 : p = 0.80 against                                            2 3             n
                          H1 : p > 0.80
                                                              consistent for -
     (D) H0 : p = 0.80 against
                             H1 : p    0.80              (D) X(n) is consistent for -

                                               35                                           [P.T.O.
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140. Suppose {X1, X2, ......., Xn} is a                 141. Suppose X ~ B (1, p) distribution,
                                                            0 < p < 1. On the basis of a random
    random sample from                N(µ, 0 2 )
                                                            sample        of        size   n   from   the
    distribution. Then the approximate                      distribution of X, we want to test
    dispersion matrix of                                    H0 : p = p0 against the alternative
                                                            H1 : p      p0 , where p0 is a specified
                                                            constant. Then asymptotic null
                       2
           n (X n , S )'
                       n   (µ, 0 )'
                                2
                                                            distribution of which of the following

    is :                                                    test statistics is N(0, 1) ?

                                                                  n(X n        p0 )
                                                            (A)
                                                                     X n (1 X n )
           02
                0
    (A)
           0    04                                                   Xn        p0
                                                            (B)
                                                                     X n (1 X n )


           02    0                                                   n (X n p0 )
    (B)                                                     (C)
           0    20 4                                                  p0 (1 p0 )

                                                                     Xn      p0
                                                            (D)      p0 (1     p0 )
           1
                 0
           02                                           142. If T is MLE of - and =(-) is
    (C)         1
           0                                                one-to-one function of ->; then =(T)
                04
                                                            is MLE of =(-). This follows from :

                                                            (A) Invariance property of MLE
           1
                 0                                          (B) Asymptotic property of MLE
           02
    (D)          1                                          (C) Consistency property of MLE
           0
                20 4
                                                            (D) Regularity condition of MLE

                                                   36
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143. In an r × s contingency table for             145. Suppose

    testing H0 : Two attributes A and                                           n
                                                              P(Y    y / -)         - y (1 -)n y ,
    B are independent against the                                               y

    alternative H1 : A and B are not                   y   {0, 1, 2, ....., n} . If - ~ uniform
    independent, the expected frequency                (0, 1), then the posterior distribution
    eij of (i – j)th cell is given by :                will be :
          ni j
    (A)                                                (A) Uniform (0, y)
           n

    (B) ni.n. j                                        (B) Beta (y, n – y)

          ni. n. j                                     (C) Beta (y + 1, n – y + 1)
    (C)
            n
                                                       (D) Uniform (0, 1)
        ni. n. j
    (D)
          n2                                       146. Let X ~ Poisson (+) and a single

144. A manufacturer claims that the                    realization of X resulted in 3. If +

    median lifetime of its product is more             has a prior distribution
    than 500 hours. To verify the claim
                                                              P(+)   q + e 3+ , + 1 0 ,
    based on 20 randomly observed
                                                       then the posterior mean is given
    lifetimes, which of the following tests
                                                       by :
    is most appropriate ?
                                                       (A) 4/5
    (A) Sign test

    (B) Mann-Whitney test                              (B) 3/5

    (C) Kolmogorov-Smirnov test                        (C) 5/4

    (D) Chi-square test                                (D) 2/5

                                              37                                            [P.T.O.
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147. Consider         the     linear    model          149. The values of a, b and c in the
     Yn 1     X-p 1     ?    with      E(?)   0            following ANOVA table
     Cov(?)     0 2I n . Then which of the                Source         d.f.           Ss           Mss
    following statements is always                         Treat             4              b         —
    true ?
                                                           Error             a         0.35           c
    (A) - is estimable
                                                           Total         29            1.25           —
    (B) the best            linear unbiased
                                                           are :
            estimate of - exists
                                                           (A) a = 15, b = 0.35 and c = 0.15
    (C) l ' -    is estimable for any
                                                           (B) a = 25, b = 0.35 and c = 0.015
            p – 1 vector l
                                                           (C) a = 15, b = 0.90 and c = 0.14
    (D) l ' - is estimable for only that l
                                                           (D) a = 25, b = 0.90 and c = 0.014
            which belong to the column
                                                       150. In a one-way ANOVA model
            space of X'
                                                           yij = µ + di + eij, j = 1, ..., ni,
148. Y 1 , Y 2 , Y 3 are three random
                                                           i = 1, ..., 4 with E(eij) = 0. For all
     variables with E(Y1) = Q1 – Q2 + Q3,
                                                           j and i, which of the following
    E(Y2) = Q1 and E(Y3) = Q3 – Q2.
                                                           statements is true ?
    Then which of the following
                                                           (A) µ and             1,    2,       3,   4 are all
    statements is not true ?
                                                                 estimable
    (A) Q2 – Q3 is estimable
                                                           (B) µ is not estimable but                     1,   2,
    (B) all three parameters Q1, Q2, Q3
                                                                   3 and         4 are all estimable
            are estimable                                  (C) any linear function of 1, 2, 3,
    (C) Q1 is estimable, Q2 Q3 are not                          4 is estimable
            estimable                                      (D)     i –   k       i = k = 1, 2, 3, 4 are
    (D) 2Q1 – Q2 + Q3 is estimable                               estimable

                                                  38
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151. In the multiple linear regression               153. If e1, e2, ......, en are the residuals

    setup under the assumption that the                   obtained on fitting a simple

    random errors 81, 82, ....... 8n are                  linear regression y        "0   "1 X   8 to

    uncorrelated and homoscedastic,                       (Yi , X i ) i    1...n under the standard

    the residual variables e1, e2, ....... en             assumption, then :

    are :                                                         n

                                                          (A)   ! X e is always positive
                                                                 i 1
                                                                          i i

    (A) Uncorrelated         and     homo-
                                                                  n
         scedastic                                        (B)   ! X e is always negative
                                                                 i 1
                                                                          i i


    (B) Correlated and homoscedastic
                                                                  n


    (C) Uncorrelated        and    hetero-
                                                          (C)   ! X e is always zero
                                                                 i 1
                                                                          i i



         scedastic                                        (D) Nothing can be said about
                                                                  n
    (D) Correlated and heteroscedastic                          ! Xe
                                                                 i 1
                                                                          i i


152. In a multiple linear regression
                                                     154. Consider a logistic regression model
    model y      X" 8 , the covariance
                                                          consisting of only one explanatory
    between y and ŷ , the predicted
                                                          variable X which takes values in
    value of y using least square
                                                          { 1, 1} . Then the odds ratio on
    estimator of " is :
                                                          changing X from –1 to 1 is :
    (A) ! X(X ' X) 1 X '
                                                          (A) exp (2")

    (B) ! (I – X (X' X) 1 X ')                            (B) exp (")

    (C) !                                                 (C) exp (1 + ")

    (D) None of the above                                 (D) exp (1 – ")

                                                39                                           [P.T.O.
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155. Suppose                                            157. Suppose X 3 %1 ~ M Normal3 (µ, ! 3 3 )

                               3 2 0.5 24                    and let Y       X ' AX where the matrix
    X 3 %1 ~ MNormal3       0, 50.5 1 0 6
                               5         6 .                 A has all eigenvalue equal to 1.
                               59 2 0 4 :6
                                                             Hence the probability distribution
    Then the correlation coefficient
                                                             of Y
    between X1 – X3 and 2X2 is :
                                                             (A) cannot be determined based on
            1
    (A)
          2 2                                                       the given information

    (B) 0
                                                             (B) is normal (µ ' A µ, ! ' A 8)
            1
    (C)
             2                                               (C) is @2 with 1 degree of freedom

    (D) 1
                                                             (D) is @2 with 3 degrees of freedom
             3X4
156. Suppose 5 6 ~ Bivariate Normal
             9Y:                                        158. Corresponding to the three variables

    (µ 2%1 , A 2m ) . Then :                                 X 1 , X 2 , X 3 the quadrate form

    (A) E(Y|X         x)        x E(Y)                       X 12   2X 22   4X 32   X1X 2   X 1 X 3 is :


    (B) Var(Y|X            x)     x 2 Var(Y)                 (A) Positive definite

    (C) E(Y|X         x)        E(Y) + a linear
                                                             (B) Positive semidefinite
          function of x
                                                             (C) Negative definite
    (D) Var(Y|X            x)     Var(Y)       a

          quadrate function of x                             (D) Negative semidefinite

                                                   40
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159. Suppose X      ~ Normal2 (µ, 8) and                    161. The Euclidean distance between the
             ~ 2 %1
     Y   0.5X 12   0.5X 22        X 1 X 2 . Then the
                                                                                 3 24
    probability distribution of Y is :                                           5 26
                                                                point X 3 1      5 6 and a cluster
                                                                                 59 2 6:
    (A) @2 with 2 degrees of freedom
                                                                                 3 24
                                                                                 5 1 6 is equal to :
    (B) @2 with 1 degree of freedom                             center X 3 1
                                                                                 5 6
                                                                                 59 –26:
    (C) F with 1, 2 degrees of freedom
                                                                (A) 5
    (D) t with 1 degree of freedom
                                                                (B) 4
160. For the three random variables
                                                                (C) 2
    X1, X2, X3 let X̂ 1 and X̂ 2 be the
                                                                (D) 0
    fitted    values         of     X1   and    X2
    respectively after regressing on the                    162. Principal component analysis is used
    linear function of X3. The partial                          for :
    correlation coefficient between X1
                                                                (A) reducing          the   number     of
    and X2 after removing the effect
                                                                        observations in the data
    of X 3 is the simple correlation
    coefficient between :                                       (B) reducing the variability present

                                                                        in the data
    (A) X1 and X̂ 2
                                                                (C) getting information on variable
    (B) X̂ 1 and X2
                                                                        as a function of other variables
    (C) (X1 – X3) and (X2 – X3)
                                                                (D) reducing          the   number     of
              ˆ ) and (X – X
    (D) (X1 – X            ˆ )                                          variables in the data
                1       2    2


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                                n
                           1                              164. Consider a population of 50 units,
163. Suppose S Y
                    2

                         n 1 r1
                                ! (Y     r   Y)2
                                                              {1, 2, 3, ....., 50} and suppose that 50
                          N
                                                              possible samples are listed as {1},
                    1
            s2y
                   N 1
                       ! (y     i     y )2                    {1, 2}, {1, 2, 3}, ....., {1, 2, 3, ....., 50}.
                          i 1                                 One of these samples is choosen at
                                                              random. Let i be the probability
     Y is sample mean under SRSWR                             that unit i of the population is in
                                                              the selected sample. Then which of
     y is population mean                                     the following is necessarily true ?
                                                              (A) The expected sample size is 25.5
     Y sy     is   sample       mean         under
                                                                    50

    systematic sampling                                       (B)   !
                                                                    i 1
                                                                          i   1

                                                                    50
    Which of the following statements
                                                              (C)   !
                                                                    i 1
                                                                          i   25
    is not true ?
                                                               (D) The expected sample size is 25
    (A) Probability of selecting ith                      165. Consider the following hypothetical
                                                               population of 6 units. What is the
            element of the population on the                   estimated value of population total
                            1                                  of y-variable based on SRSWOR
            rth draw is       under SRSWOR                     sample of 2 units selected as unit
                            N
                                                               4 and unit 6 from the population
            design for i = 1, 2, 3, ......, N and
                                                               using ratio method of estimation :
            r = 1, 2, 3, ......., n                             Unit No.        x        y
                                                                    1           0       1
                                                                    2           1       3
    (B) ES2Y        s2y under SRSWOR
                                                                    3           3       11
                                                                    4           6       18
    (C) E(Ysy )         y under systematic                          5           8       29
                                                                    6          10       46
            sampling
                                                               (A) 27
                                                               (B) 112
                        N 1 2
    (D) V (Y)              s y under SRSWR                     (C) 198
                         n
                                                               (D) 432
                                                     42
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166. In stratified random sampling with          167. Under systematic sampling, if s2wsy
                                                     denotes the variance among the
    a linear cost function                           units belonging to the systematic
                                                     sample then the variance of the
                       L
                                                     sample mean Ysy is :
           C     C0   !Cn,   h   h
                       h 1
                                                     (A) [(N 1) s2            2
                                                                      K(n 1) swsy ]
                                                     (B) [(N 1) s2            2
                                                                      K(n 1) swsy ]
    the variance of estimated mean (Yst )
                                                           1
                                                     (C)     2
                                                               [(N 1) s2            2
                                                                            K(n 1) swsy ]
    is minimum for a specified cost C                      N

                                                           1
    and the cost is minimum for a                    (D)     [(N 1) s2             2
                                                                           K(n 1) swsy ]
                                                           N
    specified variance of Yst when :             168. In a BIBD with 7 treatments and
                                                     block size 5, what will be the number
                                                     of replications required ?
               < wh sh <
    (A) nh B                                         (A) 56
               < Ch <
                                                     (B) 21
                                                     (C) 8
                 L

             << ! wh sh <<                           (D) 3
    (B) nh B
                h 1
                                                 169. In a completely randomized design
              < Ch <
              <          <                           with unequal group numbers, that
                                                     is, n1 = 5, n2 = 7, n3 = 6, what is
                                                     the degree of freedom for the error
             N h sh
    (C) nh B                                         term ?
              sh
                                                     (A) 17
                                                     (B) 15
            < n sh <
    (D) nh B C                                       (C) 120
            < h<
                                                     (D) 18

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170. Suppose the analysis of variance            172. In a completely randomized design
                                                      suppose yi . is computed from ni
    calculations have been performed
                                                      observations (ni not all equal with
    for a problem where there is a single              k

    factor with two levels. This would
                                                      !n
                                                      i 1
                                                            i      N ), then what will be

    produce results equivalent to :                   Var ( yi .    y.. ) ?

                                                      (A) 0 2 / Nni
    (A) a   t-test      with   alternate
                                                                   N ni
                                                      (B) 0
                                                            2
        hypothesis greater than
                                                                    Nni
    (B) a   F-test      with   alternate
                                                              ni
                                                      (C) 0 (N – 1)
                                                           2

        hypothesis less than

    (C) a   @ 2 -test   with   alternate                  0 2 (ni 1)
                                                      (D)
                                                              Nni
        hypothesis not equal to
                                                 173. Suppose the lifetimes of two systems,
    (D) a   t-test      with   alternate              system 1 and system 2, follow
                                                      exponential distributions with
        hypothesis not equal to
                                                      failure rates 2 and ½ respectively.
171. The ‘C’-matrix of a block design                 Let the probability that system ‘i’

    having r treatments is :                          fails prior to its mean time to failure
                                                      be denoted by pi, i = 1, 2. Which of
    (A) Positive definite                             the following is true ?

    (B) Positive semidefinite                         (A) p1 > p2

                                                      (B) p1 = p2
    (C) Asymmetric
                                                      (C) p1 < p2
    (D) Having rank r                                 (D) p1 . p2 = 1

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174. A system consists of 4 components,          176. The final tableau of the simplex
    3   of    which   form   a   parallel              method of the LPP
    subsystem connected in series with
                                                              Max : Z = 3x1 + 2x2
    the 4th component. The components
    work independently of each other. If               is given below :

    the reliability of each component is                          x1   x2      x3    x4
    0.8, then the system reliability is :
                                                                  3     2      0     0
    (A) 0.8381
                                                    x1        3   1    0.75   0.25   0      30
    (B) 0.7132
                                                    x4        0   0    2.25 –0.25    0      60
    (C) 0.4096
                                                  zj – cj :       0    0.25   0.75   0      90
    (D) 0.7936
                                                       If the coefficient of x1 in the objective
175. Suppose only the first 6 failure
                                                       function is changed from 3 to 1, then
    times of 18 items kept on test are
    observed. Suppose the failure times                which of the following statements

    are independent and follow an                      is/are true ?
    exponential distribution with mean
                                                       (I)    x 2 enters as a new basic
    -. If the data are :
                                                              variable in place of x4.
         1.5, 2, 2.5, 3, 4, 5
                                                       (II) The optimal value decreases by
    the maximum likelihood estimate
                                                              33.33.
    of -; C
                                                       (A) Only (I) is true
    (A) 9
                                                       (B) Only (II) is true
    (B) cannot be obtained

    (C) is 3                                           (C) Both (I) and (II) are true

    (D) is 13                                          (D) Neither (I) nor (II) is true

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177. In graphical solution method of             179. In inventory control, which costs can
     LPP, the redundant constraint is the
     one :                                            vary with order quantity ?
    (A) Which forms the boundary of                   (A) unit cost only
        the feasible region
    (B) Which does not form the                       (B) reorder cost only
        boundary of the feasible region
                                                      (C) holding cost only
    (C) Which does not optimize the
        objective function                            (D) all of the above
    (D) Which optimizes the objective
                                                 180. Customer arrivals at a service
        function
178. Four workers are required to be                  facility follows a Poisson distribution
     assigned to 4 tasks. The number of               with mean 10 per hour and the
     hours required to complete the tasks             service times have an exponential
     by each of the workers is given in
     the following table :                            distribution with average service
                    Workers                           rate of 4 minutes per customer.
             20     30      40     50                 Then, which of the following
   Tasks     40     50      60     70                 statements is false ?
             70     80      90     80
                                                      (A) The probability of two or more
             30     50      80     40
                                                          customers waiting in the queue
    Then, which of the following is
    true ?                                                is 4/9
    (A) The minimum time required to
                                                      (B) The average length of the queue
        complete all the tasks is 200
        hours                                             is 4/3 customers
    (B) The minimum time required to                  (C) The average waiting time of
        complete all the tasks is 210
        hours                                             a customer in the queue is 8
    (C) The basic feasible solution is                    minutes
        non-optimum
                                                      (D) The probability that the server
    (D) The basic feasible solution is
        non-degenerarate                                  is idle is 2/3

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Source: Savitribai Phule Pune University. Question paper published by Savitribai Phule Pune University.