TS SET 2014: Paper II, Mathematical Sciences

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SUBJECT CODE SUBJECT PAPER
A-15-02 MATHEMATICAL SCIENCES II
HALL TICKET NUMBER
QUESTION BOOKLET NUMBER
OMR SHEET NUMBER
DURATION MAXIMUM MARKS NUMBER OF PAGES NUMBER OF QUESTIONS
1 HOUR 15 MINUTES 100 16 50
This is to certify that, the entries made in the above portion are correctly written and verified.
Candidate’s Signature Name and Signature of Invigilator
Instructions for the Candidates A¿æýÅÆæÿ$¦ËMæü$ çÜ*^èþ¯èþË$
1. Write your Hall Ticket Number in the space provided on the 1. D ç³#r ò³O ¿êVæü ÌZ CÐèþÓºyìþ¯èþ çÜ¦Ë ÌZ Ò$ çàÌý sìýMðüsý ¯èþ ºÆæÿ$ Æ>Äæý$ yìþ.
top of this page.
2. D {ç³Ôèý² ç³{èþÐèþ$$ Äæý*¿ñýO ºçßý$âñýO_eMæü {ç³Ôèý²Ë¯èþ$ MæüÍW E ¨.
2. This paper consists of fifty multiple-choice type of questions.
3. At the commencement of examination, the question booklet will 3. ç³Èæü {´ëÆæÿ ¿æýÐèþ$$¯èþ D {ç³Ôé²ç³{èþÐèþ$$ Ò$Mæü$ CÐèþÓºyæþ$èþ$ ¨. Ððþ$$§æþsìý I§æþ$
be given to you. In the first 5 minutes, you are requested to °Ñ$çÙÐèþ$$ËÌZ D {ç³Ôé²ç³{èþÐèþ$$¯èþ$ ðþÇ_ Mìü §æþ ðþÍí³¯èþ A Ôé˯èþ$ èþç³µ°çÜÇV>
open the booklet and compulsorily examine it as below : çÜÇ^èþ*çÜ$Mø yìþ.
(i) To have access to the Question Booklet, tear off the paper (i) D {ç³Ôèý² ç³{èþÐèþ$$¯èþ$ ^èþ*yæþyé°Mìü MæüÐèþÆÿõ³h A ^èþ$¯èþ E¯èþ² M>Wèþç³# ïÜË$¯èþ$
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without sticker-seal and do not accept an open booklet. Ò$Ææÿ$ A XMæüÇ ^èþÐèþ§æþ$ª.
(ii) Tally the number of pages and number of questions
in the booklet with the information printed on the (ii) MæüÐèþÆæÿ$ õ³h ò³O Ðèþ$${¨ _¯èþ çÜÐèþ*^鯿ÿ {ç³M>Ææÿ D {ç³Ôèý²ç³{èþÐèþ$$ÌZ° õ³iË çÜ Qůèþ$
cover page. Faulty booklets due to pages/questions Ðèþ$ÇÄæý$$ {ç³Ôèý²Ë çÜ Qůèþ$ çÜÇ^èþ*çÜ$Mø yìþ. õ³iË çÜ QÅMæü$ çÜ º «¨ _ V>±
missing or duplicate or not in serial order or any other Ìôý§é çÜ*_ _¯èþ çÜ QÅÌZ {ç³Ôèý²Ë$ ÌôýMæü´ùÐèþ#r Ìôý§é °f{ç³ M>Mæü´ùÐèþ#r Ìôý§é
discrepancy should be got replaced immediately by a {ç³Ôèý²Ë$ {MæüÐèþ$ç³§æþ®ÌZ ÌôýMæü´ùÐèþ#r Ìôý§é HÐðþO¯é óþyéË$ yæþ$r Ðèþ sìý §øçÙç³NÇèþÐðþ$O¯èþ
correct booklet from the invigilator within the period {ç³Ôèý² ç³{é°² Ððþ r¯óþ Ððþ$$§æþsìý I§æþ$ °Ñ$ÚëÌZÏ ç³È> ç³ÆæÿÅÐóþæüMæü$°Mìü ÇW C_aÐóþíÜ
of 5 minutes. Afterwards, neither the Question Booklet §é°Mìü º§æþ$Ë$V> çÜÇV>Y E¯èþ² {ç³Ôèý²ç³{é°² ¡çÜ$Mø yìþ. èþ§æþ¯èþ èþÆæÿ {ç³Ôèý²ç³{èþÐèþ$$
will be replaced nor any extra time will be given. Ðèþ*Ææÿaºyæþ§æþ$ A§æþ¯èþç³# çÜÐèþ$Äæý$ CÐèþÓºyæþ§æþ$.
(iii) After this verification is over, the Test Booklet Number
should be entered in the OMR Sheet and the OMR Sheet (iii) ò³O Ñ«§æþ V> çÜÇ^èþ*çÜ$Mö¯èþ² èþÆ>Óèþ {ç³Ôé²ç³{èþ çÜ Qůèþ$ OMR ç³{èþÐèþ$$ ò³O
Number should be entered on this Test Booklet. A§óþÑ«§æþ V> OMR ç³{èþÐèþ$$ çÜ Qůèþ$ D {ç³Ôé²ç³{èþÐèþ$$ ò³O °ÇªçÙtt çÜ¦Ë ÌZ Æ>Äæý$ÐèþÌñý¯èþ$.
4. Each item has four alternative responses marked (A), (B), (C) 4. {ç³ {ç³Ôèý²Mæü$ ¯éË$Væü$ {ç³éÅÐèþ*²Äæý$ {ç³çܵ §æþ¯èþË$ (A), (B), (C) Ðèþ$ÇÄæý$$ (D)
and (D). You have to darken the circle as indicated below on the Ë$V> CÐèþÓºyézÆÿ$$. {ç³{ç³Ôèý²Mæü$ çÜÆðÿO¯èþ {ç³çܵ §æþ¯èþ¯èþ$ G¯èþ$²Mö° Mìü §æþ ðþÍí³¯èþ Ñ«§æþ V>
correct response against each item. OMR ç³{èþÐèþ$$ÌZ {ç³ {ç³Ôé² çÜ QÅMæü$ CÐèþÓºyìþ¯èþ ¯éË$Væü$ Ðèþé¢ÌZÏ çÜÆðÿO¯èþ
Example : A B C D {ç³çܵ §æþ¯èþ¯èþ$ çÜ*_ ^óþ Ðèþ颰² »êÌý ´ëÆÿ$$ sý ò³¯þø Mìü §æþ ðþÍí³¯èþ Ñ«§æþ V>
where (C) is the correct response.
ç³NÇ ^éÍ.
E§éçßýÆæÿ×ý : A B C D
5. Your responses to the items are to be indicated in the OMR
Answer Sheet given to you. If you mark at any place other than (C) çÜÆðÿO¯èþ {ç³çܵ §æþ¯èþ AÆÿ$$óþ
in the circle in the Answer Sheet, it will not be evaluated. 5. {ç³Ôèý²ËMæü$ {ç³çܵ §æþ¯èþ˯èþ$ D {ç³Ôèý²ç³{èþÐèþ$$ø CÐèþÓºyìþ¯èþ OMR ç³{èþÐèþ$$ ò³O¯èþ
6. Read instructions given inside carefully. CÐèþÓºyìþ¯èþ Ðèþé¢ÌZϯóþ ç³NÇ _ Væü$Ç¢ ^éÍ. AÌêM>Mæü çÜÐèþ*«§é¯èþ ç³{èþ ò³O ÐóþÆöMæü ^ør
7. Rough Work is to be done in the end of this booklet. Væü$Ç¢õÜ¢ Ò$ {ç³çܵ §æþ¯èþ Ðèþ$*ÌêÅ Mæü¯èþ ^óþÄæý$ºyæþ§æþ$.
8. If you write your name or put any mark on any part of the OMR 6. {ç³Ôèý² ç³{èþÐèþ$$ ÌZç³Ë C_a¯èþ çÜ*^èþ¯èþ˯èþ$ gê{Væüèþ¢V> ^èþ§æþÐèþ yìþ.
Answer Sheet, except for the space allotted for the relevant 7. _èþ$¢ç³°° {ç³Ôèý²ç³{èþÐèþ$$ _ÐèþÆæÿ C_a¯èþ RêäçܦËÐèþ$$ÌZ ^óþÄæý*Í.
entries, which may disclose your identity, you will render yourself 8. OMR ç³{èþÐèþ$$ ò³O °È~èþ çÜ¦Ë ÌZ çÜ*_ ^èþÐèþËíܯèþ ÑÐèþÆ>Ë$ èþí³µ _ CèþÆæÿ çÜ¦Ë ÌZ
liable to disqualification. Ò$ Væü$Ç¢ ç³#¯èþ$ ðþÍõ³ Ñ«§æþ V> Ò$ õ³Ææÿ$ Æ>Äæý$yæþ V>± Ìôý§é CèþÆæÿ _à²Ë¯èþ$
9. The candidate must handover the OMR Answer Sheet to ò³rtyæþ V>± ^óþíܯèþrÏÆÿ$$óþ Ò$ A¯èþÆæÿáèþMæü$ Ò$Æóÿ »ê«§æþ$ÅËÐèþ#鯿ÿ$.
the invigilators at the end of the examination compulsorily
9. ç³Èæü ç³NÆæÿ¢Æÿ$$¯èþ èþÆ>Óèþ Ò$ OMR ç³{é°² èþç³µ°çÜÇV> ç³Èæü ç³ÆæÿÅÐóþæüMæü$yìþMìü CÐéÓÍ.
and must not carry it with you outside the Examination Hall. The
candidate is allowed to take away the carbon copy of OMR Ðésìý° ç³Èæü Væü¨ ºÄæý$rMæü$ ¡çÜ$Mæü$ÐðþâæýÏMæü*yæþ§æþ$. ç³Èæü ç³NÆæÿ¢Æÿ$$¯èþ èþÆæÿ$Ðéèþ A¿æýÅÆæÿ$¦Ë$
Sheet and used Question paper booklet at the end of the {ç³Ôèý² ç³{é°², OMR ç³{èþ Äñý$$MæüP M>Ææÿ¾¯þ M>ï³° ¡çÜ$Mæü$ÐðþâæýÏÐèþ^èþ$a.
examination. 10. ±Í/¯èþËÏ Ææÿ Væü$ »êÌý ´ëÆÿ$$ sý ò³¯þ Ðèþ*{èþÐóþ$ Eç³Äñý*W ^éÍ.
10. Use only Blue/Black Ball point pen. 11. ÌêVæüÇ£æþÐþ$ sôýº$ÌýÞ, M>ÅÍMæü$ÅÌôýrÆÿË$, GË[M>t°Mü ç³ÇMæüÆ>Ë$ Ððþ$$§æþËVæü$¯èþÑ ç³ÈæüVæü¨ÌZ
11. Use of any calculator or log table etc., is prohibited. Eç³Äñý*W ^èþyæþ °õÙ«§æþ .
12. There is no negative marks for incorrect answers. 12. èþç³ çÜÐèþ*«§é¯éËMæü$ Ðèþ*Ææÿ$PË èþWY ç³# Ìôý§æþ$.
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HE
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WR
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NO
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MATHEMATICAL SCIENCE
Paper – II
1. Let S = ⎧⎨1 − ( −1) ; n = 1, 2, 3, ...⎫⎬ ; and
n
3. If f: → is defined by
n
⎩ ⎭
⎧1 for rational x
and be the ifimum and supremum of S f ( x) = ⎨ then set of
⎩0 for irrational x,
respectively. Then the ordered pair
points of continuity for f is
( , ) =
(A) (0, 1) (B) (0, 2)
(A) , the set of all rational numbers
(C) ( )
1,2
2 (D) (1, 2)
(B) I, the set of all irrational numbers
∞
2. If {x n } n =1
is a sequence of real numbers
(
such that x1 > 0 and x n+1 = 12 x n + xan ) for (C) , the set of all real numbers
n ≥ 1, where a > 0, then (D) φ, the empty set
(A) {x n } is monotonic increasing and 4. Suppose f: → is a monotonic
lim x n = +∞
n →∞ decreasing continuous function with f (0) = a.
(B) {x n } is monotonic decreasing and Then the image, f ( ( 0, ∞ ) ) , of the interval
lim x n = − ∞
n →∞ ( 0, ∞ ) , under f is a sub set of
(C) {x n } is monotonic increasing and (A) ( −∞, a )
(B) ( −∞, − a )
lim x n = a
n →∞
(D) {x n } is monotonic decreasing and (C) ( −a, +∞ )
(D) ( a, +∞ )
lim x n = a
n →∞
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5. If f : [ a, b ] → is such that for some δ > 0, 7. If B = {α1, α2 , ..., αn } is a basis for a vector
f ( x ) − f ( y) < x − y
1+δ
for all x, y ∈ [a, b] space V and S = {1, 2 , ..., m } is a
linearly independent set in V then
then
(A) B ⊆ S (B) S ⊆ B
(A) f ( x ) = ex for all x ∈ [a, b ]
(C) m ≤ n (D) n < m
(B) f ( x ) = cos x for all x ∈ [a, b ]
3 3
8. If T: → is defined by
(C) f (x) = k, a constant, for all x ∈ [a, b ] T ( x, y, z ) = ( x + 2y, y − z, x + 2z ) for
(D) f (x) = log x for all x ∈ [a, b ] ( x, y, z ) ∈ 3 then the rank of T is
(A) 3 (B) 2
6. In the vector space 3 over , if
(C) 1 (D) 0
(1, − 2, 5 ) = λ1 (1, 1, 1) + λ 2 (1, 2, 3) +
9. If T : 3 → 3 is given by
λ3 (2, − 1, 1) then ( λ1 , λ 2 , λ 3 ) =
T ( x, y, z ) = ( x + y + z, y + z, z ) for
(A) (– 6, 2, 3) ( x, y, z ) ∈ 3 then T−1 ( x, y, z ) =
(B) (– 6, 3, 2) (A) (x – y, y – z, z – x)
(B) (x, y – z, z – x)
(C) (– 6, – 2, 3)
(C) (x – y, y – z, z)
(D) (– 6, 2, – 3)
(D) (x + y, y + z, z)
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1
10. Consider the vector space p ( ) of all 12. Let C be the circle z − 1 =
2
positively
2
oriented. Then ∫ z( z − 1) dz =
1
polynomials of degree ≤ 2 over . If (a, b, c)
C
represents the co-ordinates of the (A) −2i
polynomial 3t2 + 4t + 5 with respect to the (B) 2i
basis {1, 1 + t, 1 + t2} then (a, b, c) = (C) i
(A) (–2, 4, 3) (D) − i
(B) (2, 4, 3) 13. Suppose f(z) = u + iv is an entire function
(C) (–3, 4, 3) with u 2 ≤ v2 ∀ z. If f (0) = 1then f (2014) =
(D) (4, 4, 3) (A) 0 (B) –1
11. Let C be the circle |z – 3| = 1 positively (C) 1 (D) 2014
oriented. Then ∫ z cosec z dz = 14. The number of zeroes of the polynomial
C
(A) 0 z8 + 10z3 + 14 that lie in the domain
(B) i 1 < |z| < 2 is
(C) −πi (A) 5 (B) 6
(D) 2πi (C) 7 (D) 8
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15. If R is a Boolean ring, then the 18. A field among the following quotient rings is
characteristic of R is [x]
(A) 1+x+x 2
(A) 1 (B) 2
[x]
(B) x 4 +4
(C) 0 (D) ∞
[x]
(C) x3 − 3
16. The number of normal sub groups of order
[ x]
13 in a group of order 143 is (D) x2 −1
(A) 1 (B) 2
19. Let X = {a, b, c, d, e}. Consider the
(C) 3 (D) 4
topology T = {φ, X, {a} , {a, b} , {a, b, e},
10
17. The Galois group of the polynomial x − 1
{(a, c, d}, {a, b, c, d}} on X. If A = {a, c, d, e}
over is isomorphic to the group
then the interior of A is
(A) ({1, 3, 7, 9} , X mod 10 )
(A) {a, b, e}
(B) ({0, 1, 2, 3, 4, 5, 6, 7, 8, 9} , + mod10)
(B) {a, c, d}
(C) ({1, 2, 3, 4} , X mod 5 )
(C) {a}
(D) (10 , + )
(D) {a, b}
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20. Let S be an infinite subset of a discrete 23. If y (1) = 1 and if the solution of
2
topological space X. Then S is dy
y − x dx = y 2 + dx
dy
is (1 + x )(1 − y ) = ky,
(A) Compact
then k =
(B) Not Compact
(C) Not a T – space
1 (A) 1
(D) Not a T2 – space
(B) 2
21. The general solution of the differential
2
(2
)
equation x − y dx + 2xy dy = 0 is (C) 4
2 2
(A) x – y = cx
(D) 3
(B) x2 + y2 = cx
(C) x2 – y2 = cy 24. If the solution of the partial differential
2 2
(D) x + y = cy 3 3 3
equation ∂ z − 3 ∂ z + 4 ∂ z = e x + 2y is
∂x 3 ∂x 2∂y ∂y2
22. If the solution of the differential equation
z = f1 ( y + αx ) + f 2 ( y + β x ) + xf3 ( y + γx )
dy
dx (
+ y cot x = cos3 x 1 + y 2 sin 2 x )
+δ e x + 2y , then α+β+γ =
(
is y f ( x ) = tan π4 − 14 cos x when
4
) δ
( )
y π2 = 1, then f 2 = ( ) (A) 9 (B) 3
(A) tan 1 (B) 2π
(C) 1 (D) 4π (C) 81 (D) 27
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28. The extremals of the functional
25. The solution of the Volterra integral
( )
⎛ 1 2 ⎞
equation, ∫ ⎜⎝ y +2y sin x ⎟⎠ dx
0
x
( )
y x = 12 −
1+x ∫ 1+x1 2 y ( t ) dt is under boundary conditions
0
(A)
1
3
( )
y ( 0 ) = 0, y π2 = 1 is
(
1 + x2 ) 2
(A) y = 4x
π
+ cos x
1
(B) 3
(
1 − x2 )2 (B) y = 4x − sin x
π
1
(C)
(1+x2 )
2
(C) y = 2x
π
− cos x
(D) 1
(D) y = 2x + sinx
(1 − x2 )
2
π
26. Using Newton-Raphson method, a root of
29. If y ( 0 ) = 1, y′ ( 0 ) = 0, and y′′ ( x ) = ( x )
the equation x 3 − 2x − 5 = 0 is
then the integral equation corresponding
(A) 2.5 (B) 2.7
to y′′ + 2xy′ + y = 0 is
(C) 2.1 (D) 2.3
x
(A) ( x ) + ∫ ( 3x − u ) ( u ) du + 1 = 0
27. When [1, 3] is divided in to 4 equal sub 0
x
3
intervals, by Simpson’s rule, ∫ 1 dx = (B) ( x ) + ∫ ( 3x − u ) ( u ) du − 1 = 0
x 0
1
x
(A) 1.5 (B) 1.1 (C) ψ ( x ) + ∫ ( 2x − u ) ψ ( u ) du + 2 = 0
0
x
(C) 1.7 (D) 1.4 (D) ψ ( x ) + ∫ ( 2x − u ) ψ ( u ) du − 2 = 0
0
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33. The joint probability mass function (pmf)
30. The number of degrees of freedom of rigid
of (x, y) is given below:
body moving freely in space is
(A) 4 (B) 3 y
1 2 3
x
(C) 6 (D) 8
3 1 6
5
20 5 20
31. For any two events A and B which of the 2 1 1
6
20 5 20
following is true ?
The marginal pmf of x is given by
(A) P ( AB ) ≥ P ( A ) ≥ P ( A ∪ B )
x 1 2 3
(B) P ( AB ) ≤ P ( A ) ≤ P ( A ∪ B )
(A) 5 2 7
P(x)
20 5 20
(C) P ( A ) + P (B ) ≤ P ( A ∪ B )
(D) P ( A ) ⋅ P (B ) ≥ P ( A ∪ B )
x 1 2 3
(B) 7 6 7
32. Let A and B be two events such that P(x)
20 20 20
P ( A ) = 0.3, P ( A ∪ B ) = 0.8 and P (B) = P.
Then for what values of P, A and B are x 5 6
(C) 13 7
P(x)
independent. 20 20
1 2
(A) (B)
2 7
x 5 6
5 1
(C) (D) (D) 2 3
7 5 P(x)
5 5
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34. The characteristic function of standard 36. If X and Y are two i.i.d. random variables
normal distribution is given by
sint such that X+Y and X–Y are independently
(A)
t
(B) e− t distributed, then the distribution of X is
1
(C)
1 + t2 (A) Exponential
(D) − 1 t2
e 2
(B) Normal
35. Which of the following matrix is not a
transition probability matrix ? (C) Cauchy
⎡ 1 0 0⎤
⎢ ⎥ (D) Laplace
(A) ⎢ 21 1 1⎥
⎢ 3 6⎥
⎢⎣ 0 0 1⎥⎦
37. State which of the following is correct ?
⎡ 1 1 1⎤
⎢2 4 4⎥ (A) Unbiased estimator is always the
⎢ 2 1⎥
(B) ⎢ 0
3 3⎥
⎢ ⎥ best estimator
⎢3 0 1 ⎥
⎣4 4 ⎦
⎡ ⎤ (B) Unbiased estimator is also a
⎢0 2 − 1⎥
⎢ 1 1 0⎥
⎢ ⎥ consistent estimator
(C) ⎢ 2 2
⎥
⎢ 1 1 0⎥
⎣3 3 ⎦
(C) Unbiased estimator is unique
⎡ 1 0 1⎤
⎢2 2⎥
(D) Unbiased estimator need not be
(D) ⎢ 1 0 2 ⎥
⎢3 3⎥
⎢ ⎥
⎢3 1 0⎥ consistent
⎣4 4 ⎦
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38. Consider the following statements on the 41. T h e Gauss Markov theorem
maximum likelihood estimator (MLE) of θ
establishes that the OLS estimator of
involved in the uniform U ( θ, θ + 1)
∧
( ) X1Y is
−1
distribution: , = X1X
P : MLE of θ is unique; Q : MLE of θ is
(A) BLUE
always unbiased
(B) Error free estimator
(A) Both P and Q are true
(B) P is true but not Q
(C) uve only
(C) Both P and Q are not true
(D) Not a BLUE
(D) Q is true but not P
39. For a fixed confidence coefficient (1 − α) , 42. A quadratic form in p-variables
the most preferred confidence interval for x1, x 2 , ..., x p is a homogeneous function
the parameter θ is the one with
consisting of all possible second order
(A) Shortest length
(B) Largest length
terms namely
(C) Average length
p
(D) None of these (A) ∑ a ij x i x j
ij
40. The nonparametric alternative to the two
p
sample t – test is (B) ∑ a ij x i
ij
(A) Sign test
p
(B) Mann-Whitney U test (C) ∑ a ij x j
ij
(C) Wilcoxon signed rank test p
(D) Runs test for randomness (D) ∑ a ji x ij
ij
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43. The standard procedure for maximising a 45. Let r12.3 be the partial correlation coefficient
between X1 and X2 after linear effect of X3
function of several variables, subject to one
has been eliminated, then the relationship
or more constraints, is the method of between total correlation, partial
correlation and multiple correlation can be
(A) Lagrange Multipliers
expressed as
(B) First Principal Component 2
(A) R1.23 = (1 − r12 )(1 − r13.2 )
(C) Principal of Least Squares 2
( 2
)( 2
(B) R1.23 = 1 − r12 1 − r13.2 )
(D) Data Reduction Method 2
( 2
(
(C) R1.23 = 1 − 1 − r12 1 − r13.2 ))
44. In Cluster Analysis the dissimilarity
2
( 2
)(
2
(D) R1.23 = 1 − 1 − r12 1 − r13.2 )
measure equation d AB = Min dij
i∈A
( ) is ⎧2, 0 < x < y; 0 < y < 1
46. Let f ( x, y ) = ⎨
j∈B ⎩0, Otherwise
known as be the joint probability density function of
x and y , then x and y
(A) Dendrogram
(A) are uncorrelated
(B) are correlated with coefficient of
(B) Complete linkage clustering correlation equal to 1
(C) are correlated with coefficient of
(C) Single linkage clustering
correlation equal to 0.5
(D) are correlated with coefficient of
(D) Both (B) and (C)
correlation equal to 0.2
__
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47. The estimator of reliability function for 49. Any solution to a general linear
exponential failure distribution with
programming problem which also satisfies
parameter '' is given by
the non negative restrictions is called a
(A) 1− exp ( −λt )
(A) Optimum solution
(B) λ
(B) Non basic solution
(C) exp ( −λt )
(D) 1λ (C) Feasible solution
48. The structure function φ ( x ) of K out of n (D) Basic solution
system is 50. Single item inventory models occur when
n an item is ordered only once to satisfy the
(A) ∑ x i ≥ K
i =1
(A) Supply for the period
n
(B) ∑ x i ≤ K
i =1 (B) Demand for the period
n
(C) ∑ x i = K (C) EOQ problem with shortages
i =1
n
(D) ∑ x i ≠ K (D) Supply and Demand for the period
i =1
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Space for Rough Work
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Space for Rough Work
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Space for Rough Work
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Source: Telangana State Eligibility Test. Question paper published by Telangana State Eligibility Test.