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MH SET 2025: 15 June, Paper II, Mathematical Sciences

  • Date: 15 June 2025
  • Paper code: JUN-30225
  • Series: A
  • Language: Bilingual
  • 48 pages
MH SET 2025 question paper, 15 June 2025, Paper II, Mathematical Sciences, page 1 of 48
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Test Booklet Code & Serial No.
                                                                                                                               A
                                                                             Paper-II
                                                    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.
       JUN - 30225                                                                                                     (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
                   on the top of this page.                                                 1.
       2.          This paper consists of 180 objective type questions. Each question
                   will carry two marks. Candidates should attempt all questions
                   either from sections I & II or from sections I & III only.               2.
       3.          At the commencement of examination, the question booklet                                        I   II          I   III
                   will be given to the student. In the first 5 minutes, you are            3.
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                   the correct response against each item.
                   Example : where (B) is the correct response.                                              (B)

                                A                  C        D                                                          A                     C   D
                   Following wrong methods should not be used as they are not                                                                    (Digitized)
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                   Candidate using such method will be responsible for their loss.

CORRECT METHOD                          WRONG METHODS
                                                                           CORRECT METHOD                                   WRONG METHODS
        C      D        A B C D        A B C D         A B C D      A B C D
                                                                                   C D                      A B C D         A B C D      A B C D     A B C D
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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.   Which of the following statements
                                                         is not true in any metric space ?
1.   Let X be a connected metric space.
                                                         (A) Every open set is closed
     Then which of the following is
     true ?                                              (B) Every subset is bounded

     (A) X is finite                                     (C) There is a finite set which is not
                                                             closed
     (B) X is infinite
                                                         (D) There is a countable set which
     (C) |X|  10                                            is not compact
     (D) X is uncountable
                                                    4.   The series :
2.   Let X, Y be metric spaces. Suppose
                                                         2 3 4          n1
     f, g : X  Y      are     continuous                    ......  2  ......
                                                         1 4 9           n
     functions and D  { x| f ( x)  g( x)} .
                                                         (A) Converges to an irrational
     Then f  g if D is :
                                                             number
     (A) Dense in X
                                                         (B) Converges      to   a   positive
     (B) Unbounded                                           transcendental number

     (C) Compact                                         (C) Converges to a rational number

     (D) Closed                                          (D) Diverges

                                                3
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5.   For any two sequences {xn} and {yn},         6.   Suppose that {fn} is a sequence of

     it is known that,                                 functions defined by :


     lim xn  lim yn  lim ( xn  yn )                                     xn
                                                              fn ( x)             , 0  x  1.
                                                                          1  xn
      lim ( xn  yn )  lim xn  lim yn (*)
                                                       Then, which of the following

                       0 if n is even                statements is true ?
     Suppose that xn  
                         1 if n is odd               S1 : fn  f  0 uniformly on [0, 1]

     and   yn  1  xn , for all     n 1.             S2 : sup fn ( x)  F( x)  0 on [0, ½]
                                                              0  x ½
     Then, which of the following
                                                       S3 : fn  f  0 uniformly on [0, ½]
     statements is/are true for {x n }                 (A) Only S1 and S2 are true
     and {yn} ?                                        (B) Only S1 and S3 are true

                                                       (C) Only S2 and S3 are true
     S1 : strict inequalities hold in (*)
                                                       (D) All the three are true
                                    above.
                                                  7.   Suppose that f is a function defined
                                                       by :
     S2 : {xn + yn} converges, while {xn}
                                                                             x
                         and {yn} do not.                     f ( x)           ,
                                                                          3  2x 0  x  1
                                                                                                  2
     (A) Neither S1 nor S2 is true                     If g( x)  f "( x)  f '( x)  [ f '( x)] , then
                                                       g(1) is equal to :
     (B) Both S1 and S2 are true
                                                       (A) 9

     (C) Only S1 is true                               (B) 2
                                                       (C) 6
     (D) Only S2 is true                               (D) 4
                                              4
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8.   Suppose that f is a function on R2                10. The number of non-empty proper
     defined by :
                                                           subsets of X = {1, 2, 3, 4, 5} is :
                  xy
                  2     2
                           ,    ( x, y)  (0, 0)           (A) 16
     f ( x, y)   x  y
                 
                  0,           ( x, y)  (0, 0)           (B) 31

     Then, which of the following                          (C) 32
     statements is/are true ?
                                                           (D) 30
     S1 : f is continuous at (0, 0).
     S2 : Both partial derivatives exist               11. Which of the following statements
            at (0, 0).
                                                           is true ?
     (A) Both S1 and S2 are true
     (B) Only S1 is true                                   (A) C is a vector space over R of

     (C) Only S2 is true                                       dimension 
     (D) Neither S1 nor S2 is true
                                                           (B) R is a vector space over Q of
9.   Consider the function f defined
                                                               dimension 
     by :
                                                           (C) The vector space consisting
                  cos( x)
                           ,   x  /2
       f ( x)    / 2  x                                    of all polynomials with real
                     1,        x  /2
                
                                                               coefficients of degree upto n has
     What should be the value of  so that
     f would be continuous at x   / 2 ?                      dimension n

     (A) 1                                                 (D) Every set of vectors in a vector
     (B) –1
                                                               space V can be extended to a
     (C) 2
                                                               basis of V
     (D) –2

                                                   5
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12. Let T : R3  R 2 be a linear map          13. Assuming (X – I)–1 exists, what will

    such that :                                   be I + X + X2 + ...... + Xn–1 ?

                                                  (A) (I – X)n (X – I)–1
      1               0
        1             0                   (B) (I – Xn) (X – I)–1
    T 0    ,     T  1     and
         0           1                (C) (Xn – I) (X – I)–1
       0             0 
                                                  (D) (X – I)–1 (X – I)n

      0                                     14. Suppose A, B and C are 3×3
        1
    T 1                                      matrices with |A|  3 and |B|  3 .
         1  .
       1                                      Then, |2 C A 2 BT (CA)–1 B| is :

                                                  (A) 54
           1                                    (B) 216
            
    Then T  1  
                                                  (C) 27
            
            1 
                                                  (D) 172

                                              15. The following system of equations :
        2
    (A)                                                         x + z = 3
         1 
                                                            x – y – z = 1
        1                                                   –x + y = 1
    (B)  
         1 
                                                  (A) is consistent with infinitely
                                                       many solutions
         1 
    (C)                                         (B) is consistent with a unique
         2 
                                                       solution
        2                                       (C) is not consistent
    (D)  
         2                                    (D) has exactly three solutions

                                          6
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            1       0     0                    19. Let A be a 5 × 5 real matrix and
                             
16. Let A   2      2     0  . Then, the
                                                   let B be the adjoint of A. Then :
            1      1     4 
                                                     (A) A and B have same rank
    eigenvalues       of   the    matrix
    A2 – 3A + 2I are :
                                                     (B) A and B have same determinant
    (A) 0, 0, 6
    (B) –1, 1, 0                                     (C) A is invertible if and only if B
    (C) –2, 4, 18                                           is invertible
    (D) 0, 3, 12
17. Suppose A is a non-zero real                     (D) AB = 5 I5
    nilpotent matrix. Then :
                                                 20. The quadratic form corresponding
    (A) A is not triangulable
    (B) A has at least two eigenvalues               to the matrix
    (C) The transpose of A is nilpotent
                                                                2    1     0
    (D) The minimal polynomial of A                                           
                                                                1    2     1
        is same as its characteristic                                         
        polynomial                                              0   1     1 

18. Let A be an n × n matrix with all
    entries equal to 1. Then :                       is :

    (A) All eigenvalues of A are positive
                                                     (A) Positive definite
    (B) 0 is an eigenvalue of A with
        multiplicity 1                               (B) Negative definite
    (C) A has at least three distinct
        eigenvalues                                  (C) Positive semidefinite

    (D) A has exactly one non-zero
                                                     (D) Negative semidefinite
        eigenvalue

                                             7
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             SECTION II                             23. Which of the following is true ?
                                                        (A) There exists an analytic function
21. For a complex number z, | e    iz
                                         | 1                f such that Re f ( z)  y2  2 x
    holds if :                                          (B) There exists an analytic function
                                                             f such that Im f ( z)  x2  y
    (A) Re z > 0                                        (C) If f is analytic on the unit disk
                                                             , then the function f ( z ) is
    (B) Re z < 0                                             analytic on 
                                                        (D) There exists a real-valued non-
    (C) Im z > 0                                             constant function which is
                                                             analytic on a domain D
    (D) Im z < 0
                                                                                 sin z
                                                    24. The function f ( z)              has :
                                                                                 1  ez
22. Under the stereographic projection
                                                        (A) a removable singularity at z = 0
    between S2 and C, the point 1 + i
                                                        (B) a simple pole at z = 0
    of C corresponds to the following                   (C) a pole of order two at z = 0
    point of S2.                                        (D) an essential singularity at z = 0
                                                    25. Let  denote the unit disk and
          2 –2 1                                       f :    be analytic with f(0) = 0.
    (A)  ,   , 
           3 3 3
                                                        Then :

         2 2 1                                                 1 1
    (B)  , ,                                        (A) If f    , then f ( z)  z for
          3 3 3                                                  2 2
                                                             all z 
         1   1    
    (C)    ,   , 0                                    (B) | f '(0)|  1 , then f ( z)  z for all
         2    2 
                                                             z 
          1    1    1                                 (C) | f ( z)|  | z| for all z 
    (D)     ,    ,   
            3    3    3
                                                        (D) If f '(0)  0 , then f is constant

                                                8
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                                                 28. Which of the following power
26. If   { z  C / | z  |  1}1}
                                 , then the
                          2
                                                      series does not have radius of
                       sin z dz
     value of                is :                 convergence 1 ?
                     z   z
                           2                          (A) 1 – z  z2  z3  ......

                                                                z2 z3 z4
     (A) 0                                            (B) z             ......
                                                                2   3   4

     (B) 2i                                          (C) 2  2.3 z  3.4 z2  4.5 z3  ........

                                                          1   z   z2
                                                      (D)           .........
     (C) 4i                                               2 22 23

     (D) –2i                                     29. An analytic function f on unit disk

                                                       is constant on  if :
27. Which of the following Möbius
                                                      (A) f is bounded
     transformations maps the unit
     disk onto the right half plane                   (B) f 2 is analytic
     {w / Re w  0}0}?
                                                      (C) f  f is analytic

                    zi                                     1
     (A) f ( z)                                      (D)     is analytic
                    zi                                     f

                                                  30. Which of the following functions is
                  z1
     (B) f ( z)                                      conformal on the unit disk ?
                  z1

                                                      (A) z5 + 1
                     z 1
     (C) f ( z) 
                    2z  1                            (B) cos z

                  z1                                 (C) ze z3  1
     (D) f ( z) 
                  1 z
                                                      (D) zez

                                              9
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31. Consider         the      following       two                                             1
                                                         33. Let              f ( z)  sin             and
    statements :                                                                             z1
                                                             A   z / 0  | z  1|  1 Then :
    (i)   An     entire       function    with
          infinitely         many     zeros    is            (A) f(A) is a bounded set
          identically zero.
                                                             (B) f(A) is contained in a half-plane
    (ii) There        exists an       analytic
                                                             (C) f (A)  C
          function f on the unit disk such
          that :                                             (D) f is not analytic on A

                 1  1   1                            34. One of the values of              1  i , where
               f   f
                 2n  n  2n  1 
                                                             i  1 , is :
          for n  1, 2, 3 .....
                                                                       1         
                                                             (A)         log 2  i 
    Then :                                                             4        2
                                                                   e
    (A) Only (i) is true                                               1         
                                                             (B)         log 2  i 
                                                                       4        4
    (B) Only (ii) is true                                          e

                                                                    1
    (C) Both (i) and (ii) are true                           (C)      log 2   i
                                                                   e4
    (D) Both (i) and (ii) are false
                                                                       1         
                                                             (D)         log 2  i 
32. Suppose f is analytic in a disk D and                              2        2
                                                                   e
     f ( z)  0 for all z  D . Then :                   35. What is the minimal polynomial of
    (A) f is a one-one map                                     2       3 over Q ?
    (B) f is bounded
                                                             (A) x3 – 5x2 + 1
    (C) f ' need not be analytic
                                                             (B) x4 – 6x2 + 1
    (D) there is an analytic function
                                                             (C) x4 – 10x2 + 1
          g:DC                such       that

          f ( z)  e g( z)                                   (D) x2 + 6x + 1

                                                    10
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36. What is the Galois group of                    39. For which of the following n, the
                                                       polynomial x3 – 9 is irreducible in
     f ( x)  x3  3 x2  15 x  3 over Q ?            Zn [x] ?
    (A) (Z3, +)                                        (A) 11
                                                       (B) 31
    (B) Z4, +)
                                                       (C) 9
    (C) the alternating group A4
                                                       (D) 10
    (D) the permutation group S3                   40. Consider the following statements :

37. There is no subfield with k elements               I : A subring of a unique
                                                           factorization domain is a unique
    to the field with 64 elements if                       factorization domain.
    k is :                                             II : Let R be a unique factorization
                                                            domain and d  gcd ( a, b) for
    (A) 16
                                                            a, b  R . Then ( d)  ( a)  (b) .
    (B) 4                                              Which is correct ?
    (C) 8                                              (A) Only I is true
                                                       (B) Only II is true
    (D) 2
                                                       (C) Both I and II are true
38. Let F q be a finite field with q                   (D) Neither I nor II is true
    elements. Then which of the                    41. Consider the following statements :
    following need not be true ?                       I : Any finite non-commutative
                                                           ring must have at least 16
    (A) q is a power of a prime
                                                           elements.
    (B) For every positive integer n,                  II : Let R be a ring with unity
         there is an irreducible polynomial                 such that |R| = 9. Then R is
                                                            commutative.
         of degree n in Fq[x].
                                                       Which of the following is true ?
    (C) The      multiplicative      group             (A) Only I is true
         (Fq \{0}, X) is cyclic                        (B) Only II is true
                                                       (C) Both I and II are true
    (D) Fq is algebraically closed
                                                       (D) Neither I nor II is true

                                              11
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42. The special linear group SL2(Z/2Z)         44. Which of the folowing is correct ?
    of 2 × 2 matrices over Z/2Z :                  (A) A4 has a subgroup of order 6

    (A) has cardinality 8                          (B) A4 has only one proper non-
                                                       trivial normal subgroup
    (B) has cardinality 16
                                                   (C) A4 is simple
    (C) is isomorphic to S3
                                                   (D) Two elements of An that are
    (D) is isomorphic to A4                            conjugates in Sn are always
                                                       conjugates in An also
43. Consider the following statements :
                                               45. Let G be a group of order p 2 ,
    I : If G is a group such that every
                                                   (p-prime). Then which of the
        cyclic group of G is a normal
                                                   following is correct ?
        subgroup of G, then every
                                                   (A) G has exactly 3 subgroups
        subgroup of G is a normal
                                                   (B) G has exactly 2 subgroups
        subgroup of G.
                                                   (C) G has exactly 2 non-trivial,
    II : If H is a subgroup of a group                 proper subgroups
        G such that the index of H in
                                                   (D) G has more than 4 subgroups
        G is 2, then H is a normal
                                               46. Suppose given a positive integer k
        subgroup of G.
                                                   has the property that for any integer
    Which of the following statement(s)            n  k can be written as a sum of
    is/are true ?                                  3’s and/or 8’s. Then which of the
                                                   following is the value of k ?
    (A) Only I is true
                                                   (A) 6
    (B) Only II is true
                                                   (B) 8
    (C) Both I and II are true
                                                   (C) 9
    (D) Neither I nor II is true                   (D) 15

                                          12
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47. How many units are there in Z12 ?               50. The interval (–1, 1) is homeomorphic

    (A) 3                                               to :

                                                        (A) The parabola y = x2
    (B) 4

    (C) 5                                                                     x 2 y2
                                                        (B) The ellipse             1
                                                                              4    9
    (D) 2
                                                        (C) The circle x2 + y2 = 1
48. The permutation (12) (13) in S4 is
                                                        (D) The interval [–1, 1]
    similar to :
                                                    51. Let C[0, 1] denote the space of
    (A) (2 3 4)                                         continuous functions on [0, 1] with
    (B) (2 3)                                           sup norm    . The set

    (C) (1 2 3 4)                                                              1
                                                         M  { f  C{0, 1} / f    0} is :
                                                                               2
    (D) (1 2) (3 4)
                                                        (A) Bounded subset of C[0, 1]
49. Let B be the collection of bounded
                                                        (B) Open subset of C[0, 1]
    real sequences with sup norm     .
                                                        (C) Closed subset of C[0, 1]
    Let
                                                        (D) Compact subset of C[0, 1]
          
    A 0   xn  / xn  0  n  10      and        52. Let     f : X  {1,  1} be a non-

                                
    B0   xn  /   xn     1 .                    constant      map      defined    on   a
                                                        topological space X. Then :
    Then :
                                                        (A) f is never continuous
    (A) A0 is compact
                                                        (B) f is continuous iff X is
    (B) B0 is compact                                          disconnected
    (C) A0 is not closed                                (C) f is continuous iff X is connected
    (D) A 0  B0 is compact                             (D) f is continuous iff X is compact

                                               13
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53. Which of the following statements             56. A topological space X is normal if :
      is false for a space X with discrete            (A) X is T2
      topology ?                                      (B) X is regular and T2

      (A) Every open set in X is closed               (C) for given x  X and a neigh-
                                                            bourhood u of x there exists an
      (B) Every closed set is compact
                                                            open set v such that x  V  u
          in X
                                                      (D) for a given closed set A  X and
      (C) Every closed set is open in X                     an open set u containing A,
      (D) Every singleton set is open                       there is an open set V such that
          in X                                              AVu
54. Let C be a closed subset of R such            57. Let        X  {( x, y)  R 2 : x2 y2  1} .
      that C  I   for any open interval            Then :
      I of R. Then :                                  (A) X is compact and connected

      (A) C is compact                                (B) X is compact, but not connected
                                                      (C) X is connected, but not compact
      (B) C is bounded
                                                      (D) X is neither compact nor
      (C) C = R
                                                            connected
      (D) C is countable                          58. Let  1 and  2 be the topologies
55.   Let S' denote the unit circle with              induced by the metrics d1 and d2
      centre origin which of the following            on a set X such that d1  d2. For
      space is not connected ?                         x  X and r  0 , the open balls in
                                                      (X, d1) and (X, d2) are denoted by
      (A) S' × [0, 1]
                                                      B1(x, r) and B2(x, r) respectively.
      (B) S' \ {P} × [0, 1] where P is a
                                                      Then :
          given fixed point on S'
                                                      (A) B1 ( x, r)  B2 ( x, r) and 1   2
      (C) S' \ {P1, P2} × [0, 1] where                (B) B1 ( x, r)  B2 ( x, r) and  2  1
          P1 , P2  S' are distinct points            (C) B2 ( x, r)  B1 ( x, r) and 1   2
      (D) S' × {0}                                    (D) B2 ( x, r)  B1 ( x, r) and  2  1

                                             14
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59. Let  be the topology generated by                61. The differential equation corres-
                                                          ponding to the family of curves :
    {( a, b]| a, b  R, a  b},} on R. Let
                                                                       y  c( x  c)2 ,
           1           1
    an      and bn   for all n N .                    where c is an arbitrary constant,
           n           n
                                                          is :
    Then (the sequences) :
                                                          (A) ( y ')2  2 y ( x2 y '  3 y)
    (A) (an) and (bn) converges in                       (B) ( y ')3  4 y ( xy '  2 y)
                                                          (C) ( y ')4  3 x ( x3 y '  4 y)
    (B) (an) converges and (bn) does not                  (D) ( y ')2  3 y ( xy '  2 y)
           converge in                               62. Let  and  be solution of
                                                              y '  2 xy '  (sin x2 ) y  0 ,
    (C) (an) does not converge and (bn)
                                                          such that :
           converges in 
                                                                  (0)  1 ,  '(0)  1
                                                                   (0)  1 ,  ' (0)  2
    (D) neither (an) nor (bn) converges
                                                          Then W (,  ) at x = 1 is :
           in 
                                                          (A) e – 1
                                                         (B) e2 + 1
60. Let           X   In ,             where            (C) 1/e
                       n 1
                                                          (D) e ½
    I1  I2  I3 ......  In  .......    and
                                                  63. For the differential equation :
    every In is a non-empty closed and                            y '  x sin y  y cos x
    bounded interval in R. Then :                         defined on rectangle
                                                                   | x |  5 , | y|  2 ,
    (A) X =                                              which of the following is Lipschitz
                                                          constant ?
    (B) |X| = 1
                                                          (A) 4
    (C) |X|                                             (B) 6
                                                          (C) 1
    (D) |X|  0                                           (D) 3

                                                 15
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64. Consider the following statements             66. The general solution of

    for any solution  of the differential                      dy
                                                                    2 xy  2e x
                                                                                  2


                                                                dx
    equation with constant coefficient :
                                                      is :
            y "  a1 y '  a2 y  0 ,
                                                      (A) y  (2 x  c) e x
                                                                               2



    where a1, a2 are constants.
                                                      (B) y  2ce x
                                                                          2




    (I)  0 as x , if the real parts                           x2
                                                      (C)    y  ce 2
        of the roots of the characteristic
                                                      (D) y  (2 x2  c) e x
                                                                                   2
        polynomial are negative.

    (II)  0 as x , if the real parts        67. The solutions of the differential
                                                      equations
        of the roots of the characteristic
                                                         dy               dz
        polynomial are positive.                             2 y  z and     3y
                                                         dx               dx
    Then :
                                                      satisfy the relation :
    (A) Only I is true                                (A) y  z  c e3x
    (B) Only II is true                               (B) y  z  c e x
    (C) Both I and II are true                        (C) 3 y  z  c e3 x

    (D) Both I and II are false                       (D) 3 y  z  c e x

65. Consider the differential equation            68. The normals to the surfaces
                                                      represented by the partial differential
              dy
                  y  y2  0 .                       equations :
              dx
                                                         yzdx  xzdy  xydz  0 and
    Then lim y( x) equals.
            x                                                  yzp  xzq  xy
    (A) 0                                             (A) are parallel
    (B) 1                                             (B) intersect
    (C) –1                                            (C) intersect orthogonally
    (D)                                              (D) are coincide

                                             16
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69. The partial differential equation              71. Consider         the    following      two

               yp  xq  0                            statements :

    has :                                             (I)   The characteristic curve of a one
    (A) unique integral surface containing                  parameter family of surfaces
        the circle x2  y2  4 , z  2                      f ( x, y, z, a)  0 is a locus of the
    (B) finitely many integral surfaces                     common points of intersection
        containing the circle x2  y2  4 ,                 of :
         z2                                                        f ( x, y, z, a)  0 and
    (C) infinitely       many    surfaces
                                                                f ( x, y, z, a)
        containing the circle x2  y2  4 ,                                       0.
                                                              a
         z2
                                                      (II) The envelope of the one
    (D) no integral surface containing
                                                            parameter family of surfaces
                     2       2
        the circle x  y  4 , z  2
                                                            f ( x, y, z, a)  0 is obtained by
70. A partial differential equation can
                                                            eliminating the parameter ‘a’
    have :
                                                            from the equations :
    (I) unique general integral
                                                                   f ( x, y, z, a)  0 and
    (II) unique complete integral
                                                                f ( x, y, z, a)
    (III) unique     integral     surface                                         0.
                                                              a
        containing the given curve.
                                                      Then :
    Then :
                                                      (A) (I) is true and (II) is false
    (A) (I), (II) and (III) are true
                                                      (B) (I) is false and (II) is true
    (B) (I), (II) and (III) are false

    (C) (II) and (III) are true                       (C) (I) and (II) both are false

    (D) (I) and (II) are true                         (D) (I) and (II) both are true

                                              17
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72. Let P(x, y, z)dx + Q(x, y, z)dy +             73. The region in which the partial

    R(x, y, z) dz = 0 be a Pfaffian                   differential equation,

    differential equation.                                yuxx  2 xyuxy  xuyy  ux  uy

                                                      is hyperbolic if :
    Consider the following three
    statements.                                       (A) xy  1
                                                      (B) xy  0
    (I) Every Pfaffian differential
                                                      (C) xy  0
        equation is integrable.
                                                      (D) xy  1
    (II) A Pfaffian differential equation
                                                  74. The envelope of the one parameter
        is integrable if and only if
                                                      family of planes through (0, 0, 0) to
         X . curl    X      =   0,   where            the integral surface of the partial
         X = (P, Q, R) .                              differential equation p2  q2  1 is :

    (III) A Pfaffian differential equation            (A) x2 – y2 = 4

        is integrable if and only if :                (B) x2 + y2 = 4
                                                      (C) x2 + y2 = z2
               Q R     R P 
             P        Q                         (D) x2 – z2 = y2
                      
               z y     x z 
                                                  75. Consider the following statements :
                             P Q                  (I) Wave equation is of parabolic
                           R         0
                             y x 
                                                          type.
    Then :                                            (II) Heat equation is of elliptic type.

    (A) (I) and (II) are true                         Then :
                                                      (A) Only (I) is true
    (B) (I) and (III) are true
                                                      (B) Only (II) is true
    (C) (II) and (III) are true
                                                      (C) Both (I) and (II) are true
    (D) (I), (II) and (III) are true                  (D) Both (I) and (II) are false

                                             18
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76. Let  be the forward difference
                                                               79. Let f(x) be a function which takes
      operator,  be the backward
      difference operator and  be the                             the values y0, y1, ......., yn for x = x0,
      central difference operator. Then :
                                                                   x1, ......., xn respectively and [a, b]
      (A)   =  – 
      (B)    2                                               be an interval divided into n
      (C)  –   2
                                                                   subintervals of width h such that :
      (D)     – 
77. Let f(x) be a polynomial of degree                             x0 = a, x1 = x0 + n, ......, xn = x0 +
      n. Then the nth forward difference
                                                                                                          nh = b.
      of f(x), that is,  n [ f ( x)] is :
      (A) always 0                                                 Then the error in the trapezoidal
      (B) constant
                                                                   rule for integration is of order :
      (C) always 1
      (D) cannot determine                                         (A) h
78.      is a divided difference operator
      and  is a forward difference                                (B) h 2
      operator, f(x) and g(x) are two
                                                                   (C) h 3
      functions and a and b are constants,
      then :                                                       (D) cannot determine
      (A)      [ a f ( x)  bg( x)]  a       f(x) +
                                                               80. The     value     of     2 f ( x) ,    where
                                          b       g(x)
                                                                    f ( x)  abcx is :
      (B)      [ af ( x)  bg( x)]  a     (f(x) g(x))
                                + b       (f(x) . g(x))            (A) (bch  1)2 abcx

      (C)      [ af ( x)  bg( x)]  a  f ( x ) +                 (B) (bch  1) abcx
                                           b  g(x)
                                                                   (C) ( abcx )2
      (D)      [ af ( x)  bg( x)]  a(f(x) g(x))
                                                                   (D) (bch  1)2 abcx
                                 + b  (f(x) g(x))

                                                          19
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81. Let    y  f ( x)    take the values                     82. The extremal of the functional
   y0, y1, ....., yn for a  x0 , x1  x0  h ,                                  
                                                                                                         dr
   ......., xn = x0 + nh = b. Then the                             I  r()   r 2  r '2 d , r ' 
                                                                                 0
                                                                                                         d
   value of :
                                                                 is :
                 b
                                                                 (A) a catenary
                  f ( x) dx
                 a                                               (B) a cycloid
                                                                 (C) a straight line
                        1
   by Simpson’s           -rule is :                             (D) an arc of the great circle
                        3
                                                             83. The shortest distance between two

          h                                                      points in a 3-dimensional Euclidean
   (A)      [ y  4( y1  y3  .....  yn1 )
          3 0                                                    space is a curve of intersection of :
                                                                 (A) two surfaces
              2( y2  y4  .....  yn  2 )  yn ]
                                                                 (B) two planes
                                                                 (C) a surface by a plane
       h
   (B)   [ y  yn  4( y1  y3  ....  yn1 )                   (D) a sphere of radius r by the plane
       8 0
                                                                        through the centre of the sphere
                      2( y2  y4  .....  yn  2 )]        84. The time taken by a particle moving
                                                                 along a curve y  y( x) with velocity
          h                                                      v  x from the point (0, 0) to (1, 1)
   (C)      [4( y0  y2  .....  yn )
          3
                                                                 is minimum if the curve is a :

                      2( y1  y3  .....  yn 1 )]             (A) Circle with its centre on the
                                                                        x-axis
          h                                                      (B) Cycloid
   (D)      [4( y0  y2  .....  yn )
          8                                                      (C) Catenary
                                                                 (D) Circle with its centre on the
                      2( y1  y3  .....  yn 1 )]
                                                                        y-axis

                                                        20
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85. The extremals of the functional               88. For the homogeneous integral
                         x2                           equation
          I  y( x)   f ( x, y ') dx
                                                                        1
                         x1
                                                                                     
                                                             x(t)    s t  t s x(s) ds ,
    is obtained as the solution of the                                  0

    equation :                                        consider the following statements.
    (A) f y ' x y '  f y '  0                       (I)    This equation does not have
    (B) f y ' y ' y "  f y ' x  0                          real eigenvalues.
    (C) y ' f y '  f  constant
                                                      (II) The eigenvalues of this equation
    (D) f y ' x  0
                                                             are 1 and –1.
86. The functional
                                                      Then :
                         /4
          I  y( x)             2   2
                           ( y  y ' ) dx            (A) Only (I) is true
                          0
                                                      (B) Only (II) is true
    satisfying y(0) = 0 attains its
                                                      (C) Both (I) and (II) are true
    extremal on the curve :
                                                      (D) Both (I) and (II) are false
    (A) y  b sin x
                                                  89. The solution of the integral equation
    (B) y  e x
                                                                   t
    (C) y  cos x                                             t    1
                                                                    x(s) ds
                                                              2 0 ts
    (D) y  0
87. Which of the following functions is               is :
    coercive ?                                                         1
                                                      (A) x(t) 
    (A) f : R 2  R , f(x, y) = 3x – 4y                                 t

    (B) f : R 2  R , f(x, y) = x                     (B) x(t)        t

    (C) f : (0, )  R f(x) = yx                      (C) x(t)  1

    (D) f : R 2  R , f(x, y) = x2 + y2               (D) x(t)  t

                                             21
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90. The boundary value problem                              91. Eigenvalues of the Fredholm
                                                                integral equation,
    y "  y  x , y(0)  0 , y '(1)  0

    is equivalent to the Fredholm                                                     
                                                                        x(t)  1    cos (t  s) x(s) ds
    integral equation.                                                               0


                  1 3
    (A) y( x)      ( x  3 x)                                 are :
                  6

                                 1                              (A) 2/, –2/
                               k( x, t) y(t) dt
                                 0                              (B) , –

                  1 2
    (B) y( x)      ( x  2 x)                                 (C) 1, –1
                  6

                             1                                  (D)      2,  2
                             x k( x, t) y(t) dt
                             0
                                                            92. The resolvent kernel for Volterra
                  1                                             integral equation with kernel :
    (C) y( x)      ( x  3 x2 ) 
                  3
                                                                         k(t, s)  at  s , a  0
                       1
                       ( x  t) k( x, t) y(t) dt
                       0                                        is :

    (D) y( x)  ( x  2 x2 )                                   (A) R (t, s; )  a (t  s) e(t  s)

                       1
                        e( x  t) k( x, t) y(t) dt            (B) R (t, s; )  at  s e(t  s)
                       0
                                                                (C) R (t, s; )  at  s . e(t  s)
                            t;         0tx
         where k( x, t)  
                            x;         x  t 1               (D) R (t, s; )  at  s e(t  s)

                                                       22
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93. For the integral equation                    95. A particle of mass m is constrained
             1
                                                     to move on the arc of a parabola
          1                                          x2 = 4 ay, where y is vertical axis,
    x(t)   (t s  s t ) x(s) ds
          2 t                                        under gravity. Then the canonical
    consider the following statements.               momentum is given by :

    The above integral equation is :                 (A) mx
                                                     (B) m( x  2ay )
    (I) Fredholm integral equation of
        second kind.                                         x 2 
                                                     (C) mx  2
    (II) Volterra integral equation of                       4a 
        first kind.
                                                                 x2 
    Then :                                           (D) mx 1  2 
                                                                4a 
    (A) Only (I) is true
                                                 96. A particle of mass m is constrained
    (B) Only (II) is true
                                                     to move on a horizontal xy-plane
    (C) Both (I) and (II) are true
                                                     which is rotating about the vertical
    (D) Both (I) and (II) are false                  z-axis with angular velcoity . If T
94. A particle is thrown horizontally                is the total kinetic energy of the
    from the top of a building of height                                      T       T
    h with initial velocity u. Neglecting            particle, then x             y      is equal
                                                                              x       y
    all other forces except the gravity              to :
    and the air resistance which is
                                                     (A) 2T
    proportional to the velocity of the
                                                     (B) 2T2 + T1
    particle, then which one of the
                                                     (C) 2T2 + T1 + T0
    following is true ?
                                                     (D) T2 – 2T1 – T0
    (A) The Hamiltonian H represents
        the total energy                             where        T = T2 + T1 + T0,

    (B) Angular        momentum        is                   1
                                                    T2       m ( x 2  y2 ) , T1  m ( xy  yx ) ,
        conserved                                           2
    (C) Hamiltonian H is conserved                          1
                                                    T0       m2 ( x2  y2 )
    (D) The total energy E is conserved                     2

                                            23
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97. If L (q j , q j , t) and H( p j , q j , t) are        99. If p j and p'j are the components
    respectively the Lagrangian and the                        of the generalised momenta
    Hamiltonian of a dynamical system,                         corresponding to the Lagrangians L
    then the Lagrange’s equations of                           and L' respectively, where

                d  L  L                                              L'  L 
                                                                                     d
                                                                                        F(q j , t) ,
      motion                    0 can also
                dt  q j  q j                                                    dt

      be represented as :                                       then :

            L dH                                               (A) p'j  p j
      (A)          0
            t   dt
                                                                     '          F
          L     d           L                               (B) p j  p j  q
      (B) q       
                 dt 
                      L   j q   0
                            
                            q                                                           j
             j            j      j
                                                                                     F
                                                                (C) p'j  p j 
          L   d             L                                                    t
      (C) t     
               dt 
                    L   
                          q j       0
                              q j 
                        j
                                                                     '          d  F 
                                                                (D) p j  p j  dt  q 
          L      d                                                               j
      (D) q       
                  dt 
                       L   j j  0
                             p 
                               q
              j            j                              100. Let Lx, Ly, Lz be the components of
98. A particle of mass m is thrown                              angular momentum of a rigid body
    upward from the surface of the earth                        with one point fixed. If Lx is of the
    with initial velocity u making an                           form
    angle  with the x-axis. The instant                          Lx = Ixx Wx + Ixy Wy + Ixz Wz,
    of time at which the acceleration and                       where Ixx is the moment of inertia
    the velocity of the particle are
                                                                about x-axis, then :
    perpendicular to each other is :

      (A)
          u cos                                                (A) I xx   mi xi  yi
                                                                             i
                                                                                 2    2
                                                                                                  
             g

      (B)
            2u sin 
                                                                (B) I xx   mi xi  zi
                                                                                 2    2
                                                                                                  
               g                                                             i


      (C)
            2u cos 
               g
                                                                (C) I xx   mi yi  zi
                                                                             i
                                                                                 2    2
                                                                                                  
            u sin 
                                                                (D) I xx    mi xi
                                                                                   2
      (D)
               g                                                                 i

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               SECTION III                         104. The population of Nicosia is 75%
101. The arithmetic mean and product of                Greek and 25% Turkish. 20% of the
     three geometrically progressed                    Greeks and 10% of the Turks speak
     numbers are 7 and 216. The                        English. A visitor to the town
     arithmetic mean of first and last                 meets someone who speaks English.
     number is :                                       What is the probability that he is
     (A) 7.5                                           a Greek ?
     (B) 6.5                                                  3
                                                       (A)
     (C) 5.5                                                  7

     (D) 8.5                                                  4
                                                       (B)
                                                              7
102. If in a questionnaire, place of
     residence is asked with options as                       5
                                                       (C)
                                                              7
     suburbs,      city,   town,   metro,
     villages, then appropriate scale of                      6
                                                       (D)
     measurement is :                                         7
                                                   105. Suppose that X and Y are i.i.d.
     (A) Ratio scale
                                                       random variables with c.d.f. F which
     (B) Ordinal scale
                                                       is binomial with parameters n and
     (C) Interval scale
                                                       p. Then, P( x  j | x  y  k) is equal
     (D) Nominal scale                                 to :
103. The upper quartile of the data is 7.75
                                                       (A) j/k, for j = 0, 1, 2, ......, k
     and coefficient of quartile deviation
     0.55. The interquartile range is :                (B)   p q , for j = 0, 1, 2, ...., k
                                                              k
                                                              j
                                                                  j k j



                                                       (C)   1 / 2 , for j = 0, 1, 2, ...., k
     (A) 5.00                                                 k       k
                                                              j
     (B) 5.25
                                                       (D)  j   k j  /  n  , for j = 0, 1,
                                                            n       n        2n
     (C) 5.50
     (D) 5.75                                                                          2, ...., k

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106. Let        F( x)  P  X  x    be   the        108. A man is known to speak truth 3
                                                           out of 4 times. He throws a fair die
    distribution function of a random
                                                           and reports it is a six. Then, the
    variable X.
                                                           probability that it is actually six is
                                1                        equal to :
    Define Dn  u|F(u)  F(u)   ,
                                n                        (A) 1/8
    n  1, 2, 3,......                                     (B) 5/8
    Then :                                                 (C) 2/7
    (A) Dn cannot contain more than n                      (D) 3/8
        elements
                                                      109. Three software engineers A, B, C
    (B) Dn is not empty set for all n  1                  are being considered for selection as
    (C) D2 always contains 2 elements                      project leader. The probabilities of
    (D) D1 is always empty set                             their selection are in the ratio
107. Which of the following statements                     1 : 3 : 6. If A is selected, the
     is not true ?                                         probability that she will use R
                                                           software is 0.8. The corresponding
    (A) If A1 and A2 are two independent
                                                           probabilities for B and C are
        events, then A1c and A 2c are also
                                                           respectively 0.5 and 0.3. The
        independent events
                                                           following are two statements :
    (B) If {A n , n  1}1}is a sequence of
                                                           (I) The probability that R software
        independent events such that
                                                               will be used for the new project
            
                                                               is 0.41.
            P(A n )   , then
           n 1                                            (II) If R software is used, the
           P[An occurs infinitely often]                        probability that either A or B
                                           = 1                  is the project leader is 23/41.

    (C) An event A that is independent                     Which of the following is true ?
           of itself if P(A) = 1                           (A) Both (I) and (II) are true

    (D) An event whose probability is                      (B) Only (I) is true
           either zero or one is independent               (C) Only (II) is true
           of every event                                  (D) Neither (I) nor (II) is true
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110. Suppose that G1, G2 and G3 are                        112. Suppose X is a non-negative random
    functions defined by :                                      variable whose mean exists. The
                                                                following are three statements :
                 pF( x)                  F( x)
   G1 ( x)               ; G 2 ( x)             ;             (I)   E(2 log X)  2E(log X)
               1  qF( x)              p  qF( x)
                                                                (II) E exp(2X)  exp 2E(X)
     G 3 ( x)  p  qF(2) ,
                                                                         1            1
    where         0  p1,      0 q1        and               (III) E  X 5   E(X)5
                                                                            
     p  q  1 and F is a probability
    distribution function then, which of                        Which of the following options is
    the following is true ?                                     true ?
                                                                (A) Only (II) is true
    (A) G1, G2 and G3 are distribution
                                                                (B) Only (II) and (III) are true
          functions
                                                                (C) Only (III) is true
    (B) Only G1 and G2 are distribution                         (D) None of (I), (II) and (III) is true
          functions                                        113. Which of the following is not a
                                                                characteristic function ?
    (C) Only G1 and G3 are distribution
          functions                                                             t
                                                                (A) 1 (t)    a  exp (i bt) ,   a0,
    (D) None of the G1, G2, G 3 are
                                                                    b  R and  is a characteristic
          distribution functions
                                                                    function
111. Suppose that X is a random variable                        (B) 1 (t)  ( t) , where  is a
    with c.d.f. F. Then, the distribution                           characteristic function
    F is not symmetric around its                                                 1
    median when :                                               (C) (t)             , t R
                                                                             1  t4
    (A) F is binomial with parameters                                         
          n and ½                                               (D) (t)   a j  j (t) , a j  0 and
                                                                              j 0
    (B) F is uniform over (a, b)
                                                                       
    (C) F is exponential with location                                 aj  1 ,      and      j     is   a
                                                                      j 0
          parameter 
                                                                      characteristic             function,
    (D) F is Cauchy with location
                                                                      j = 0, 1, 2, ........
          parameter 

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                                                    115. Suppose X n  X almost surely.
114. Suppose {A n , n  1}1}is a sequence of
                                                        Suppose Y n and Y are defined
                                                        as    Yn  X 3n  2X 2n  3X n  2   and
     events on a probability space
                                                         Y  X 3  2X 2  3X  2 .           The
                                                        following are three statements :
     (, A, P) . Which of the following is
                                                        (I)   Yn  Y almost surely

     always true ?                                      (II) Yn  Y in probability

                                                        (III) Yn  Y in law.
     (A)    P(A n )   
           n1                                          Which of the following is true ?

                                                        (A) Only (I) is true
                        P(lim inf A n )  0
                                                        (B) Only (I) and (II) are true

     (B)    P(A n )                                 (C) Only (II) and (III) are true
           n1
                                                        (D) All three are true

                         P(lim inf A n )  1        116. Suppose X is a real random variable
                                                        on a probability space (, A, P) and
                                                         {A n , n  1}1}is a sequence of sets in
     (C) P(lim sup A n )  0 
                                                        A such that :

                              P(A n )                       A n   as n  
                             n1
                                                        (A) X IA n  0 in probability

     (D) P(lim sup A n )  1                           (B) X IA n  X in probability

                                                        (C) X IA n  1 in probability
                              P(A n )  
                             n1
                                                        (D) X IA n  X in law

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117. Suppose as n   , X n  3 in                     119. The following are the transition
    probability         and      Yn  Y      in            probability matrices of the Markov
    distribution. Which of the following                   chains with state space S  {1, 2} :
    is true as n   ?

    (A)    X n  Yn   3  Y                                       1    2                  1    2
                                                                  1 1    0              1 0    1
                                in probability             P1                   P2             
                                                                  2 0   1             2 1   0
          n  X n  4   Yn
    (B)                         1
                   n
                                                                     1    2
                                in probability                                              1     2
                                                                 1        1
                                                               1 2                     1        1
    (C) X n Yn  Yn  4Y in probability                                    2          1
                                                           P3                   P4   2       2
                                                               22         1                        
                                                                                       2
          n  Yn  4   X n                                                          0        1 
    (D)                         4                              3        3
                   n

                                in probability             Which Markov chains have a
118. Let {X n , n  1}1}be a sequence of                   stationary distribution given by
    random variables such that as
                                                           1 1
     n   , X n  X in distribution.                       ,  ?
                                                             2 2
    Which of the following is not always
    true as n   ?                                        Markov chains with transition

    (A) E[cos(X n )  cos(X)]  0                          probability matrices.

    (B) E[X 2n  X 2 ]  0                                 (A) P1, P3

           X 2n       X2 
    (C) E         2
                         2
                              0                           (B) P1, P2
           1  X n 1  X 

              i(X  2)
                                                           (C) P1, P4
    (D) E  e n        ei(X  2)   0 ,
                                   
                                                           (D) P2, P3
          where i  1

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120. Suppose {X n , n  0}0}is a Markov                 121. Suppose in a Markov chain, f22
    chain with state space S  {1, 2, 3, 4}                 denotes the probability of the first

    and the transition probability matrix                   return to state 2 and µ2 denotes the
                                                            mean recurrence time to state 2.
    P given by :
                                                            Suppose             p22
                                                                                  ( n)
                                                                                        2.45 .      Then
                                                                               n 1
             1       2    3     4
                                                            which of the following options is
           1              1        
         1 2        0           0                         true ?
                           2
                                                          (A) f22 < 1
                    1           2
         2 0             0         
                     3           3                         (B) f22 = 1
           
           2              1        
                                                            (C) µ2 < 
         3          0           0
           3              3                                         ( n)
                                                          (D) nlim p22   0
                     1           3                               
         4 0             0
                   4           4                                        ( n)
                                                        122. Suppose fij           denotes the probability
                                                            of the first visit to j from i in n steps.
    Suppose fij denotes the probability
                                                            Suppose the Markov chain is
    of first visit to j from i. The following
                                                            periodic with period 2. The following
    are four statements :
                                                            are three statements :
    (I) f12  0 , (II) f24  1 , (III) f13  1 ,            (I)    fii(2)  pii(2)  pii(1) fii(1)
    (IV) f33  1 .
                                                            (II) fii(4)  pii(4)  pii(2) fii(2)
    Which of the following is true ?
                                                            (III) fii(7)  0
    (A) Only (I) and (II) are true                          Which of the following is true ?
    (B) Only (I) and (III) are true                         (A) Only (I) and (II) are true
                                                            (B) Only (I) and (III) are true
    (C) Only (I) and (IV) are true
                                                            (C) Only (III) is true
    (D) Only (I), (II) and (III) are true                   (D) All three are true

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123. Which of the following options is               125. If p( x)  kpx , where 0  p  1 and
    correct ?
    Messages arrive on a mobile phone                     x  0, 2, 4, 6, ..... , then for what
    according to the Poisson process
                                                          value of kp(x) becomes probability
    with rate of 5 messages per hour.
    The probability that the first                        mass function of a r.v. ?
    message in the afternoon arrives by
    1 : 20 pm is :                                        (A) p
                           20
          20  3
    (A)      e
           3                                              (B) 1 – p
                  20
    (B)       
          e       3
                                                          (C) 1 – p2
    (C) 100 e100

          5 3
                       5
                                                          (D) p2
    (D)     e
          3
124. Which of the following is true ?                126. If PX(t) is the probability generating
    Suppose {X(t), t  0}0}is a Yule-Furry
                                                          function (pgf) of random variable X,
    process with birth rate  and
    X(0) = 1. Then the distribution of X(t)               then pgf of Y = 3X + 2 is :

    is geometric with success probability
    p, where :                                            (A) t2 PX (t3)

    (A) p = e–t and support {0, 1, 2, ....,}
    (B) p = e–t and support {1, 2, 3, ....,}             (B) PX (t3)

    (C) p = 1 – e –t and support
          {1, 2, ....,},}                                 (C) t3 PX (t2)

    (D) p = 1 – e –t and support
          {0, 1, 2, ....,},}                              (D) 2t PX (t)

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127. Suppose that X is a random variable
    with c.d.f. F, where F(x) = 0.7 1(x)         129. Suppose that X and Y are two

    + 0.3 N(0, 1) (x), where 1 is the               random variables with c.d.f. F1 and
    degenerate distribution function
    degenerate at 1 and N(0, 1) is the               F2 respectively, where

    standard normal distribution
    function. Then, which of the                                 0       if     x0
                                                                
    following statements is true ?                    F1 ( x)  2 / 3    if   0  x  1 and
                                                                 
    (A) E(X) = 0.7 and variance (X) = 1                           1     if     x 1
    (B) E(X) = 0.7 and variance (X) = 0.30

    (C) E(X) = 0.7 and variance (X) = 0.51                      0       if     x0
                                                                
    (D) E(X) = 0 and variance (X) = 0.30              F2 ( x)   x      if    0 x1
                                                                 
128. Suppose that X is a random variable                          1    if     x 1
    with    cumulative        distribution
    function F, probability density
                                                     Then, which of the following
    function f, and moment generating
    function M. If M satisfies the                   statements is true ?
    condition :

      e5t M(t)  e5t M( t),  t  0,               (A) E(X) = E(Y)
    then which of the following
    statements is FALSE ?
                                                     (B) E(X) = 2/3 and E(Y) = 1/3
    (A) f ( x  5)  f (5  x)  x

    (B) f ( x  5)  f (5  x)  x
                                                     (C) E(X) = 1/3 and E(Y) = 1/2
    (C) 5 is the median of F

    (D) X – 5 and 5 – X are identically              (D) E(X) = 1/3 and E(Y) = 1/6
         distributed
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130. Suppose that XK, K = 1, 2, 3, 4 are
                                                  132. For testing H0 against H1, if test
    independent       and    identically
    distributed random variables such                 function (X) is UMP, then :
    that X1 has exponential distribution
    with scale parameter 1. Then, which               (A) (X) is not unbiased
    of the following statements is/are
                                                      (B) (X) is unbiased
    true ?

          X1  X 2                                    (C) (X) has power less than its
    (I)   X 3  X 4 has a F-distribution
                                                          size
           X1  X 2
    (II) X  X  X           has        a             (D) (X)  1
          1    2    3

          -distribution
                                                  133. Consider the following hypothesis
    (A) Both (I) and (II) are true
                                                      testing problems P1 and P2 for µ
    (B) Only (I) is true
                                                      based on sample from N(µ, 1).
    (C) Only (II) is true
                                                      P1 : H0 : µ = µ0 Vs H1 : µ > µ0
    (D) Neither (I) nor (II) is true

131. Let (X1, X2, X3) be a random sample              P2 : H0 : µ = µ0 Vs H1 : µ  µ0
    from B(1, p). Which one of the
                                                      The UMP level  test exists :
    following statistics is not sufficient
    for p ?                                           (A) For both P1 and P2
    (A) X1 + X2 + X3
                                                      (B) For P1 but not for P2
    (B) (X1, X2 + X3)
                                                      (C) For P2 but not for P1
    (C) (X1 + X2, X3)

    (D) X1 – X2 + X3                                  (D) Neither for P1 nor for P2

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134. Suppose that X1, X2, ......, Xn are i.i.d.             136. If T1 is an unbiased estimator of 
                                                                 and T is a minimal sufficient statistic
     random variables such that X1 has
                                                                 for , then which of the following
     normal distribution with mean  and
                                                                 statements is NOT true ? Suppose
     variance  > 0. Then, which of the                         T* = E[T1|T].
     following is a minimal sufficient                           (A) Var (T*)  Var (U) for every
     statistic for  ?                                               unbiased estimator U of  and
                                                                     T a complete sufficient statistic
     (A) X
                                                                 (B) T* represents the procedure of
            n                                                        Rao-Blackwellisation
     (B)  (X i  X)
                     2
                                                                 (C) Var (T*)  Var (U), for every
           i1
                                                                     unbiased estimator U of 
             n                                                 (D) Var (T*)  Var (T1)
     (C)   (X i  X) 
                      2
           X,
          i1                                             137. Let X1, X2, ......, X2n + 1 be a random
                                                                 sample from a uniform distribution
            n                                                    on the interval ( – 1,  + 1).
     (D)    X 2i                                                Let
           i1
                                                                 T1  X (sample mean on 2n + 1
135. Suppose that x 1 = –2, x 2 = 1,                                 observations)
     x3 = 3, x4 = –4 be the observed                                   (sample median on 2n + 1
                                                                 T2  X
     values of a random sample from the                              observations)
     c.d.f. with density,                                               T1  T2
                                                                 T3 
                                                                           2
                      e x
      f ( x, )               ,   x  ,   0 .             be three estimators of . Then which
                    e  e
                                                                 of the following statements is
     Then, the maximum likelihood                                correct ?
     estimator of  is :                                         (A) T1 is consistent but T2 is not
     (A) 3                                                              consistent for 
     (B) 0.5                                                     (B) T1 is consistent for 
     (C) 4                                                       (C) Only T1 is unbiased for 
     (D) 1.5                                                     (D) T2 is sufficient statistic for 

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138. Which of the following distributions             140. Suppose {(X1, Y1), (X2, Y2), ......,
     belong to the one parameter
                                                          (Xn, Yn)} is a random sample from
     exponential family ?
                                                          bivariate normal distribution with
     (A) Uniform U(0, ) distribution
                                                          correlation coefficient . It is known
     (B) Gamma distribution with scale
         parameter       3        and   shape             that :
         parameter   {2, 3, 4, 5, .....,}

     (C) N(, 2)  > 0
                                                                         d
                                                                                       
                                                            n (rn  )  z ~ N 0, (1  2 )2   
     (D) Laplace distribution with
         location parameter 0 and scale                   distribution, where rn denotes the
         parameter  > 0
                                                          sample correlation coefficient. Which
139. Suppose {X 1 , X 2 , ......, X n } are
                                                          of the following transformation g()
     independent        and       identically
     distributed random variables each                    results in :
     following N(µ, µ 2 ) distribution,
     µ  R . Which of the following                          n  g(rn )  g()  z ~ N(0, 1) ?
                                                                                   d

     statements is NOT true ?

               1                                                       1     1
          2
     (A) Sn 
               n
                   
                    Xi  X
                           2
                               is           a            (A) g() 
                                                                       2
                                                                         log
                                                                             1
         consistent estimator of µ2
                                                                       1     1
     (B) Sn  S2n       cannot          be   a            (B) g()      log
                                                                       2     1
         consistent estimator of µ
                                                                             1
     (C) X n is a consistent estimator                    (C) g()  log
                                                                             1
         of µ

     (D) Sample median is a consistent                                       1  2
                                                          (D) g()  log
         estimator of µ                                                      1  2

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141. Suppose {X1, X2, ......, Xn} is a random        143. In a multinomial distribution with
     sample     from    an    exponential                k cells and probability vector p , we
     distribution with mean . Then
                                                         want to test H0 : p  p0 against
     100(1 – )% asymptotic confidence
                                                         H1 : p  p0 where p0 is a specified
     interval for  based on sample
     mean X n :                                          vector. Suppose oi and ei denote the

                                                         observed and expected frequencies
             n Xn           n Xn 
     (A) is            ,                               when the experiment is repeated
             z / 2  n z1 / 2  n 
                                                         n times. Which of the following is
                 n Xn         n Xn 
                          ,                              true ?
     (B) is                          
             z1 / 2  n z / 2  n 

                                                         The asymptotic null distribution of :
                  Xn           Xn    
     (C) is              ,           
             z1 / 2  n z / 2  n 
                                                         (A) The likelihood ratio test statistic

     (D) Cannot be determined                                 is  2n  k

142. A test in which probability of                      (B) Karl Pearson’s test statistic
     rejecting H0 when it is not true is                       k
                                                                   (oi  ei )2
     more than that of rejecting it when                       e              is  2k1
                                                              i 1      i
     it is true, is said to be :
                                                         (C) Karl Pearson’s test statistic
     (A) Unbiased test
                                                               k
                                                                     (o  e )2
     (B) Biased test                                           ie i             is 2k
                                                              i 1       i


     (C) Consistent test
                                                               k
                                                                  (oi  ei )2
                                                         (D)                 is 2k
     (D) Uniformly most powerful test                        i 1     oi

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144. Which one of the following non-            146. Given , X 1 , X 2 , X 3 , X 4 are
                                                     independent Poisson random
    parametric test is analogous to the
                                                     variables with mean . Suppose
    chi-square test of goodness of fit ?             the prior distribution of  is
                                                     exponential with mean one. Then
    (A) Mann-Whitney test                            the posterior density of  given
                                                     Xi = Ki, i = 1, 2, 3, 4 is :
    (B) Kolmogorov-Smirnov test
                                                               4           
    (C) Median test                                 (A) Gamma   ki  1, 8 
                                                               i 1        

    (D) Wilcoxon test                                          4        
                                                    (B) Gamma   ki , 8 
                                                               i 1     
145. Which of the following statements
                                                               4              
    about the Bayes factor is true ?                (C) Gamma  
                                                               i 1
                                                                     ki  1, 4 
                                                                               
    (I) Bayes factor involves marginal                                               4

        likelihood.                                 (D) Exponential with mean 1 /  ki
                                                                                    i 1
                                                147. Consider      a     linear    model
    (II) Bayes factor expresses the
                                                     Yn1  X n p p1  n1      with
        support given by the data for
                                                    E()  On1 and Cov ()   2 I n .
        one or other of the models.                 If C is a p × 1 vector such that
                                                    C'  is not estimable, then which of
    (III) Bayes factor involves the                 the following statement is always
        conditional likelihood                      true ?
                                                    (A) C'  has a consistent but biased
    (A) Only (I) and (III)                               estimator
                                                    (B) C'  cannot be estimated with
    (B) Only (I) and (II)                                smallest possible variance
                                                    (C) C'  has a linear biased
    (C) Only (II) and (III)                              estimator
                                                    (D) C'  has a non-linear unbiased
    (D) All are true
                                                         estimator
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148. In        a        linear           model        150. In case of ANOVA with standard
     Y4 1  X 4 3 31  4 1   E(Y 1 )   =            assumption, the test of hypothesis
    E(Y3) = 1 + 2 and E(Y2) = E(Y4)
                                                          tests :
    =  1 –  3 . Hence which of the
    following statement is true ?                         (A) equality of means

    (A) 1, 2, 3 are all estimable                      (B) equality      of   means   when
    (B) 1 + 2 + 3 is estimable                              variances are all equal
    (C) 1 + 3 is estimable
                                                          (C) equality of variances when
    (D) 2 + 3 is estimable
                                                               means are all equal
149. In the following two-way ANOVA
    table the F ratio corresponding to                    (D) equality of means and variances

    the block source of variable is 2.5.              151. In a simple linear regression, the
          Source          df        ss                    prediction of the response variable y.
          Treat           3        2.5
                                                          (A) does    not    depend    on   the
          Block           2         a
                                                               regression X
          Error           –        9.0
                                                          (B) will have the same variation
          Total           11        b
                                                               irrespective of the values of X
    Hence a the block sum of squares
    and b total sum of squares are :                      (C) will have larger variation as

    (A) a = 5.0 and b = 7.5                                    values of X increase

    (B) a = 7.5 and b = 19                                (D) will have larger variation as the

    (C) a = 5.0 and b = 16.5                                   distance between the regressor

    (D) a = 7.5 and b = 10.00                                  X and its mean X increases

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152. In case of a multiple linear                  153. In a multiple linear regression

   regression setup Y  X B   with                    setup, the adjusted coefficient of

    cov()   2I n ,  2  0 . Let MReg ss             determination accounts for :

   MError ss and MTotal ss stand for                    (A) the outliers in the data
   mean regression sum of squares,
                                                        (B) the unusually large fitted valves
   mean error sum of squares and
                                                        (C) the number of regressors in the
   mean     total    sum    of   squares
                                                             model
   respectively. Which of the following

   statements is true ?                                 (D) none of the above

   (A) MReg ss and MError ss are                   154. Consider a logistic regression model

        unbiased estimators of  2 ,                    E(Y) 

        MTotal ss is a biased estimator              exp (B0  B1X1  B2 X 2  B3 X 3  B4 X 4 )
                                                   1  exp (B0  B1 X1  B2 X 2  B3 X 3  B4 X 4 )
        of 2
                                                        For the deviance based test to test
   (B) all three mean ss are unbiased
                                                        whether the model fits the data of
        estimators of 2
                                                        40 observations, the degrees of
   (C) all three mean ss are biased
                                                        freedom are :
        estimator of 2
                                                        (A) 35
   (D) MError ss is an unbiased
                                                        (B) 34
        estimator of 2, MReg ss and
                                                        (C) 5
        MTotal ss are biased estimator

        of 2                                           (D) 4

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                              1                     157. Suppose we have n iid observation
     X    ~ MN         µ1 
                             ,        , then
155. 21         2   µ2 
                              1                     from multivariate NormalP (µ, ).
     var (X1  X 2 |X1  X 2  Y) is equal
    to :                                                     The likelihood ratio test to test
    (A) 1 +                                                 H0 : µ = µ0 against H1 : µ  µ0
    (B)  (1 + )
    (C) 2                                                    uses :
    (D) 2 (1 + )
                       X1                                  (A) The t statistic which follows t
                       
156. Suppose X =       X 2  Multivariate                          distribution
                      
                 3  1 X 3 
                                                             (B) The statistic which follows 2
              1   2         1       0.5 
                                                              distribution
              0  ,  1       4        1 
     Normal3                             .
              3 0.5        1        1               (C) Hotelling T 2 statistic which
                  
     Hence the probability distribution of                          follows F distribution
       X1 
        given X3 = 2.                                      (D) None of the above
       X2 
     (A) is Normal2                                      158. The quadratic form
                       0.5  2        0.5 
                       ,                               4X12  X 22  X 32  2X1 X 2  2X1 X 3
                        1  0.5       3  
                           
     (B) is Normal2                                          is :
                      1.5 1.75       0.5 
                      ,                                (A) negative definite
                       1   0.5       3  
                          
     (C) is Normal2                                          (B) negative semidefinite
                       0.5 1.75        0.5
                       ,                                (C) positive definite
                        1   0.5       3 
                           
     (D) cannot be determined                                (D) positive semidefinite

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                                                   161. The Mahalanobis distance between
159. Suppose      X3 1 ~     Multivariate
                                                      the two Bivariate Normal Population
    Normal3 (µ ) and
                                                            1  1     1 
                                                        N2    ,            and
                                                             1 1    4  
        Y  X12  X 22  X 32  0.5X1 X 3 .                     

                                                                               2  1    1 
    Then the probability distribution                                     N2    ,         
                                                                               2 1   4  
                                                                                  
    of y is :
                                                       is :
                                                       (A) 1/3
    (A) not 2
                                                       (B) 7/3

    (B) 2 with 3 degrees of freedom                   (C) 10/3
                                                       (D) 13/3
    (C) 2 with 2 degrees of freedom               162. Given n observations on p variables
                                                       each, it is decided to carry out the
    (D) 2 with 1 degree of freedom                    principal component analysis such
                                                       that the proportion of variation
160. For three random variables X1, X2,
                                                       explained by k principal components
    X3 if 12  0.6 and 13  0.8 , then               is at most 0.7.
                                                       (A) k is 70% of p
    23 :
                                                       (B) k is 70% of n

    (A) can be < 0                                     (C) k is the smallest value for which
                                                              k principal components explain
    (B) can be any value in [0, 1]                            at least 70% of total variation
                                                       (D) k is the largest value for which
    (C) has to be in [–0.96, 0.96]                            at least k principal components
                                                              explain at least 70% of total
    (D) has to be in [0, 0.96]                                variation

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                                                164. Consider a population of size N = 6
163. If population size N is very large,
                                                    as {1, 2, 3, 4, 5, 6} with their
    then the approximate value of                   auxiliary variable values as :


    minimum sample size for estimating               x1 = 100, x2 = 200, x3 = 300,

    population mean with desired
                                                    x4 = 400, x5 = 500 and x6 = 500.

    accuracy under SRSWOR design
                                                    We want to draw a random sample

    is :                                            of n = 3 using PPSWOR design. Let
                                                    Ur denote the unit selected at the
                              ½                     rth draw for r = 1, 2, 3.
         s y Z / 2 
    (A) 
         d 
                                                    Then :

    (B)      N
                                                       P[U3 = 2|U1 = 5, U2 = 3] =


           ( s y Z  / 2 )2                               1
    (C)                                             (A)
                  d                                       6

                              2
         s y Z / 2                                      1
    (D)                                            (B)
         d                                             10


                                                           2
    where  and d are                               (C)
                                                          11


                                                           2
      P[|Y  y |  d ]  1                      (D)
                                                          13

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165. For a sampling design (         , , P), the        167. Which of the following is NOT true
    Horvitz-Thompson estimator for                          for stratified random sampling ?
    population total is given by :
                                                            A larger sample would be required

        1 N yiTi                                            from a stratum if :
    (A)   
        N i 1  i
                                                            (A) stratum size is large

          N                                                 (B) stratum variability is large
                  yT
    (B)    i i
          i 1     i
                                                            (C) sampling cost per unit is large

        N N yi                                                  in the stratum
    (C)   
        n i1 i
                                                            (D) sampling cost per unit is small

          N                                                     in the stratum
              yi
    (D) 
        i 1 Ni                                        168. Which of the following statements

166. Which of the following relation is                     is true ?

    true under post stratification ?                        (A) BIBD can be more efficient than
                                                                RBD
                         
    (A) V Yst p  V Yst, post        
                                                            (B) BIBD (r, b, s, k, ) (standard
                         
    (B) V Yst p  V Yst, post                                  notation     is   followed)    is
                                                                symmetrical when b > r + s – k
                      
    (C) V Yst,post  V Yst p    
                                                            (C) BIBD is always more efficient
                               L                                than RBD
                      
    (D) V Yst, post   wh sh
                            2

                           h 1
                                                            (D) A BIBD can be constructed for

                                      1    1                  any choice of positive integers
                                      M  n 
                                         h   h                  (r, b, s, k, )

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169. Which of the following is NOT                171. In a Latin square design involving
    TRUE for the ‘C’ matrix of an                     5 treatments, the sum of squares
    incomplete block design ?                         due    to   Rows,   Columns     and
                                                      Treatments are respectively 80, 4
    (I) C matrix is symmetric.
                                                      and 60. Suppose the F-statistic for
    (II) The row sum is equal to column               testing the equality of treatments is
        sum for any row and column.                   30, what will be the total sum of
                                                      squares ?
    (A) Only (I)
                                                      (A) 175
    (B) Only (II)
                                                      (B) 146
    (C) Both (I) and (II)
                                                      (C) 150
    (D) Neither (I) nor (II)
                                                      (D) 158
170. In a BIBD (r = 7, b = 21, k = 5,
                                                  172. Which of the following statements
    s = 15,  = 10), the following are two
                                                      is/are true ?
    statements :
                                                      (I) A two-way classified data will
    (I) Each treatment is repeated 15                       be orthogonal when the all
        times.                                              frequencies are proportional.

    (II) The given parameters of the                  (II) In a given set of n values
        BIBD is valid.                                      y1, y2, ......, yn, the maximum
                                                            number of mutually orthogonal
    Which of the following is true ?
                                                            contrasts among them.
    (A) Only (I)
                                                      (A) Only (I)
    (B) Only (II)                                     (B) Only (II)
    (C) Both (I) and (II)                             (C) Both (I) and (II)

    (D) Neither (I) nor (II)                          (D) Neither (I) nor (II)

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173. Suppose the lifetime of a system has          175. Let X1, ......., Xn be a random sample
    an absolutely continuous distribution
                                                        from a lifetime distribution F with
    with hazard rate (t), t  0. Which
    of the following statements is                      parameter . Let f denote the
    true ?
                                                        corresponding probability density
    (A) (t) is the probability that the
        system fails at time ‘t’                        function and let T0 be a fixed time.
    (B) (t) is the conditional
                                                        We observe Xi = xi only if xi  T0,
        probability that the system fails
        at time ‘t’ given that it has                   i = 1, 2, ....., n. Let nu denote the
        survived upto time ‘t’                          number of observed lifetimes and
    (C) (t) can be any non-negative
                                  t
                                                        x(1) < x(2) < ...... be the ordered
          function for which tlim
                               
                                   (u) du             observations. Which of the following
                                 0
          diverges to                                  is the most appropriate ‘likelihood’
          
                                                        for estimating  ?
    (D)    (u) du need not be 1 but is
          0
                                                               n
          finite
                                                        (A)    f ( x(i) )
174. Consider a series system with 3                          i 1

    components. Suppose the component
                                                              nu
    lifetimes are independent but with
                                                        (B)    f ( x(i) )
    failure rates 1, 2 and 3. Then the                     i 1

    failure rate of the system lifetime :
                                                              nu
    (A) is 1 2 3                                     (C)    f ( x(i) ) / ( f (T0 ))n  n
                                                                                           u

                                                              i 1
    (B) cannot be obtained from the
          given information
                                                              nu
    (C) min (1, 2, 3)                                (D)    f ( x(i) ) (1  F (T0 ))n  n  u

    (D) 1 + 2 + 3                                          i 1


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176. For the LPP                             178. The optimal value of the LPP

    Min : 4x + 6y + 18z                           Max : –4x + 5y,
                                                  Subject to :
    s.t.    x + 3y  3;
                                                            y  x and x  4
            y + 2z  5;                           (A) is 8
            x, y, z  0,                          (B) is 4
                                                  (C) is 0
    which of the following is not a
                                                  (D) does not exist
    constraint in the corresponding
                                             179. Arrival rate at a M|M|1 queuing
    dual ?
                                                  system is 0.11 per minute, while
    (A) u  4                                     service rate is 0.33 per minute.
    (B) v  9                                     Then, which of the following
                                                  statements is true ?
    (C) 3u + v  6
                                                  (I) The probability that a customer
    (D) u, v  0                                      has to wait is 0.67.
177. Consider the following LPP                   (II) The probability of waiting for
                                                       more than 10 minutes is 0.03.
    Max :   x1 + 5/2 x2                           (A) Neither is true
    Subject to                                    (B) Both are true
            5x1 + 3x2 = 15;                       (C) Only (I) is true
                                                  (D) Only (II) is true
             – x1 + x2  1;
                                             180. A service center consists of a server
            2x1 + 5x2  10;                       working at an exponential rate of
                 x1, x2  0                       two services per hour. If customers
                                                  arrive at a Poisson rate of one per
    The problem :                                 hour, then what is the probability
    (A) has no feasible solution                  that there are three customers in the
                                                  long run ?
    (B) has infinitely many optimal
                                                  (A) 1/4
        solutions
                                                  (B) 1/2
    (C) has a unique optimal solution
                                                  (C) 1/16
    (D) has an unbounded solution                 (D) 1/64
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Source: Savitribai Phule Pune University. Question paper published by Savitribai Phule Pune University.