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JAM 2022 Question Paper Mathematical Statistics (MS)

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Page 1

JAM 2022 MATHEMATICAL STATISTICS - MS

Special Instructions / Useful Data

Special Instructions / Useful Data
ℝ The set of real numbers
ℝ𝑛 {(𝑥1 , 𝑥2 , … , 𝑥𝑛 ) ∶ 𝑥𝑖 ∈ ℝ, 𝑖 = 1, 2, … , 𝑛}, 𝑛 = 2, 3, …
ln 𝑥 Natural logarithm of 𝑥, 𝑥 > 0
det(𝑀) Determinant of a square matrix 𝑀
𝐼𝑛 𝑛 × 𝑛 identity matrix, 𝑛 = 2, 3, 4, …
𝐸𝑐 Complement of a set 𝐸
𝑃(𝐸) Probability of an event 𝐸
𝑃(𝐸 | 𝐹) Conditional probability of an event 𝐸 given the occurrence of the event 𝐹
𝐸(𝑋) Expectation of a random variable 𝑋
𝑉𝑎𝑟(𝑋) Variance of a random variable 𝑋
𝑈(𝑎, 𝑏) Continuous uniform distribution on the interval (𝑎, 𝑏), −∞ < 𝑎 < 𝑏 < ∞
𝐸𝑥𝑝(𝜆) Exponential distribution with the probability density function, for 𝜆 > 0,
− 𝜆𝑥
𝑓(𝑥) = { 𝜆 𝑒 , 𝑥>0
0, otherwise
𝑁(𝜇, 𝜎 ) Normal distribution with mean 𝜇 and variance 𝜎 2 , 𝜇 ∈ ℝ, 𝜎 > 0
2

Φ(⋅) The cumulative distribution function of 𝑁(0, 1) distributed random variable
2 Central chi-square distribution with 𝑛 degrees of freedom, 𝑛 = 1, 2, …
𝜒𝑛
𝐹𝑚,𝑛 Snedecor’s central 𝐹-distribution with (𝑚, 𝑛) degrees of freedom,
𝑚, 𝑛 = 1, 2, …
𝑡𝑛,𝛼 A constant such that 𝑃(𝑋 > 𝑡𝑛,𝛼 ) = 𝛼, where 𝑋 has central Student’s
𝑡-distribution with 𝑛 degrees of freedom, 𝑛 = 1, 2, … ; 𝛼 ∈ (0, 1)
Φ(1.645) = 0.95, Φ(0.355) = 0.6387
𝑡8,0.0185 = 2.5

MS 2/52

Page 2

JAM 2022 MATHEMATICAL STATISTICS - MS

Section A: Q.1 – Q.10 Carry ONE mark each.

Q.1 Let {𝑎𝑛 }𝑛≥1 be a sequence of non-zero real numbers. Then which one of the
following statements is true?

𝑎
If { 𝑛+1} is a convergent sequence, then {𝑎𝑛 }𝑛≥1 is also a convergent
(A) 𝑎𝑛 𝑛≥1
sequence

(B) If {𝑎𝑛 }𝑛≥1 is a bounded sequence, then {𝑎𝑛 }𝑛≥1 is a convergent sequence

(C) If |𝑎𝑛+2 − 𝑎𝑛+1 | ≤ 3 |𝑎𝑛+1 − 𝑎𝑛 | for all 𝑛 ≥ 1, then {𝑎𝑛 }𝑛≥1 is a Cauchy
4

sequence

(D) If {|𝑎𝑛 |}𝑛≥1 is a Cauchy sequence, then {𝑎𝑛 }𝑛≥1 is also a Cauchy sequence

MS 3/52

Page 3

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.2 Let 𝑓: ℝ → ℝ be the function defined by
1 1
(𝑥 + ℎ) sin ( + ℎ) − 𝑥 sin
𝑥 𝑥
lim
𝑓(𝑥) = {ℎ→0 , 𝑥≠0

0, 𝑥 = 0.
Then which one of the following statements is NOT true?

(A) 2
𝑓( ) = 1
𝜋

(B) 1 1
𝑓( ) =
𝜋 𝜋

(C) 2
𝑓 (− ) = −1
𝜋

(D) 𝑓 is not continuous at 𝑥 = 0

MS 4/52

Page 4

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.3 Let 𝑓: ℝ → ℝ be the function defined by
1+𝑥 9 9
𝑓(𝑥) = det ( 9 1+𝑥 9 ).
9 9 1+𝑥
Then the maximum value of 𝑓 on the interval [9, 10] equals

(A) 118

(B) 112

(C) 114

(D) 116

Q.4 Let 𝐴 and 𝐵 be two events such that 0 < 𝑃 (𝐴) < 1 and 0 < 𝑃 (𝐵 ) < 1.
Then which one of the following statements is NOT true?

(A) If 𝑃 (𝐴|𝐵 ) > 𝑃(𝐴), then 𝑃 (𝐵 |𝐴) > 𝑃 (𝐵 )

(B) If 𝑃(𝐴 ∪ 𝐵 ) = 1, then 𝐴 and 𝐵 cannot be independent

(C) If 𝑃 (𝐴|𝐵 ) > 𝑃(𝐴), then 𝑃 (𝐴𝑐 |𝐵 ) < 𝑃 (𝐴𝑐 )

(D) If 𝑃 (𝐴|𝐵 ) > 𝑃(𝐴), then 𝑃 (𝐴𝑐 |𝐵 𝑐 ) < 𝑃 (𝐴𝑐 )

MS 5/52

Page 5

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.5 If 𝑀(𝑡 ), 𝑡 ∈ ℝ, is the moment generating function of a random variable, then
which one of the following is NOT the moment generating function of any
random variable?

(A) 5𝑒 −5𝑡 1
𝑀(𝑡), |𝑡| <
1−4𝑡 2 2

(B) 𝑒 −𝑡 𝑀(𝑡 ), 𝑡 ∈ ℝ

(C) 1+𝑒 𝑡
𝑀(𝑡), 𝑡 < ln 2
2(2−𝑒 𝑡 )

(D) 𝑀(4𝑡 ), 𝑡 ∈ ℝ

Q.6 Let 𝑋 be a random variable having binomial distribution with parameters
1
𝑛 (> 1) and 𝑝 (0 < 𝑝 < 1). Then 𝐸 ( ) equals
1+𝑋

(A) 1−(1−𝑝)𝑛+1
(𝑛+1)𝑝

(B) 1−𝑝𝑛+1
(𝑛+1)(1−𝑝)

(C) (1−𝑝)𝑛+1
𝑛(1−𝑝)

(D) 1−𝑝𝑛
(𝑛+1)𝑝

MS 6/52

Page 6

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.7 Let (𝑋, 𝑌) be a random vector having the joint probability density function

√2 (𝑦−𝑥)2
−2𝑥 −
𝑓 (𝑥, 𝑦) = { √𝜋 𝑒 𝑒 , 0 < 𝑥 < ∞, −∞ < 𝑦 < ∞
2

0, otherwise.
Then 𝐸(𝑌) equals

(A) 1
2

(B) 2

(C) 1

(D) 1
4

MS 7/52

Page 7

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.8 Let 𝑋1 and 𝑋2 be two independent and identically distributed discrete
random variables having the probability mass function
1 𝑥
𝑓 (𝑥) = {(2) , 𝑥 = 1, 2, 3, …
0, otherwise.
Then 𝑃(min{𝑋1 , 𝑋2 } ≥ 5) equals

(A) 1
256

(B) 1
512

(C) 1
64

(D) 9
256

MS 8/52

Page 8

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.9 1
Let 𝑋1 , 𝑋2 , … , 𝑋𝑛 (𝑛 ≥ 2) be a random sample from 𝐸𝑥𝑝 ( ) distribution,
𝜃
1
where 𝜃 > 0 is unknown. If 𝑋 = ∑𝑛𝑖=1 𝑋𝑖 , then which one of the following
𝑛

statements is NOT true?

(A) 𝑋 is the uniformly minimum variance unbiased estimator of 𝜃

(B) 2
𝑋 is the uniformly minimum variance unbiased estimator of 𝜃 2

(C) 𝑛 2
𝑋 is the uniformly minimum variance unbiased estimator of 𝜃 2
𝑛+1

(D) 𝑉𝑎𝑟 (𝐸(𝑋𝑛 | 𝑋 )) ≤ 𝑉𝑎𝑟(𝑋𝑛 )

MS 9/52

Page 9

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.10 Let 𝑋1 , 𝑋2 , … , 𝑋𝑛 (𝑛 ≥ 3) be a random sample from a 𝑁(𝜇, 𝜎 2 )
distribution, where 𝜇 ∈ ℝ and 𝜎 > 0 are both unknown. Then which one of
the following is a simple null hypothesis?

(A) 𝐻0 : 𝜇 < 5, 𝜎 2 = 3

(B) 𝐻0 : 𝜇 = 5, 𝜎 2 > 3

(C) 𝐻0 : 𝜇 = 5, 𝜎 2 = 3

(D) 𝐻0 : 𝜇 = 5

Section A: Q.11 – Q.30 Carry TWO marks each.

Q.11 6 1 2 2 2 𝑛−1 2
lim {(2 + 𝑛) + (2 + 𝑛) + ⋯ + (2 + 𝑛 ) } equals
𝑛→∞ 𝑛+2

(A) 38

(B) 36

(C) 32

(D) 30

MS 10/52

Page 10

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.12 Let 𝑓: ℝ2 → ℝ be the function defined by

2
1
𝑓 (𝑥, 𝑦) = { 𝑥 sin + 𝑦 2 cos 𝑦 , 𝑥≠0
𝑥
0, 𝑥 = 0.
Then which one of the following statements is NOT true?

(A) 𝑓 is continuous at (0, 0)

(B) The partial derivative of 𝑓 with respect to 𝑥 is not continuous at (0, 0)

(C) The partial derivative of 𝑓 with respect to 𝑦 is continuous at (0, 0)

(D) 𝑓 is not differentiable at (0, 0)

MS 11/52

Page 11

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.13 Let 𝑓: [1, 2] → ℝ be the function defined by
𝑡
2
𝑓 (𝑡 ) = ∫ √𝑥 2 𝑒 𝑥 − 1 𝑑𝑥.
1

Then the arc length of the graph of 𝑓 over the interval [1, 2] equals

(A) 𝑒 2 − √𝑒

(B) 𝑒 − √𝑒

(C) 𝑒2 − 𝑒

(D) 𝑒2 − 1

MS 12/52

Page 12

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.14 Let 𝐹: [0, 2] → ℝ be the function defined by
𝑥+2
𝐹(𝑥) = ∫ 𝑒 𝑥 [𝑡] 𝑑𝑡,
𝑥2

where [𝑡] denotes the greatest integer less than or equal to 𝑡. Then the value
of the derivative of 𝐹 at 𝑥 = 1 equals

(A) 𝑒 3 + 2𝑒 2 − 𝑒

(B) 𝑒 3 − 𝑒 2 + 2𝑒

(C) 𝑒 3 − 2𝑒 2 + 𝑒

(D) 𝑒 3 + 2𝑒 2 + 𝑒

MS 13/52

Page 13

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.15 Let the system of equations
𝑥 + 𝑎𝑦 + 𝑧 = 1
2𝑥 + 4𝑦 + 𝑧 = − 𝑏
3𝑥 + 𝑦 + 2𝑧 = 𝑏 + 2
have infinitely many solutions, where 𝑎 and 𝑏 are real constants. Then the
value of 2𝑎 + 8𝑏 equals

(A) −11

(B) −10

(C) −13

(D) −14

MS 14/52

Page 14

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.16 0 1 0
Let 𝐴 = ( 1 0 0). Then the sum of all the elements of 𝐴100 equals
0 1 1

(A) 101

(B) 103

(C) 102

(D) 100

MS 15/52

Page 15

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.17 Suppose that four persons enter a lift on the ground floor of a building. There
are seven floors above the ground floor and each person independently chooses
her exit floor as one of these seven floors. If each of them chooses the topmost
1
floor with probability and each of the remaining floors with an equal
3

probability, then the probability that no two of them exit at the same floor
equals

(A) 200
729

(B) 220
729

(C) 240
729

(D) 180
729

MS 16/52

Page 16

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.18 A year is chosen at random from the set of years {2012, 2013, … , 2021}.
From the chosen year, a month is chosen at random and from the chosen month,
a day is chosen at random. Given that the chosen day is the 29th of a month,
the conditional probability that the chosen month is February equals

(A) 279
9965

(B) 289
9965

(C) 269
9965

(D) 259
9965

MS 17/52

Page 17

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.19 Suppose that a fair coin is tossed repeatedly and independently. Let 𝑋 denote
the number of tosses required to obtain for the first time a tail that is
immediately preceded by a head. Then 𝐸(𝑋) and 𝑃(𝑋 > 4), respectively,
are

(A) 5
4 and
16

(B) 11
4 and
16

(C) 5
6 and
16

(D) 11
6 and
16

MS 18/52

Page 18

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.20 Let 𝑋 be a random variable with the moment generating function
1 1
𝑀 (𝑡 ) = , 𝑡 < .
(1 − 4𝑡 )5 4
Then the lower bounds for 𝑃(𝑋 < 40), using Chebyshev’s inequality and
Markov’s inequality, respectively, are

(A) 4 1
and
5 2

(B) 5 1
and
6 2

(C) 4 5
and
5 6

(D) 5 5
and
6 6

MS 19/52

Page 19

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.21 In a store, the daily demand for milk (in litres) is a random variable having
𝐸𝑥𝑝(𝜆) distribution, where 𝜆 > 0. At the beginning of the day, the store
purchases 𝑐 (> 0) litres of milk at a fixed price 𝑏 (> 0) per litre. The milk
is then sold to the customers at a fixed price 𝑠 (> 𝑏) per litre. At the end of
the day, the unsold milk is discarded. Then the value of 𝑐 that maximizes the
expected net profit for the store equals

(A) 1 𝑏
− ln ( )
𝜆 𝑠

(B) 1 𝑏
− ln ( )
𝜆 𝑠+𝑏

(C) 1 𝑠−𝑏
− ln ( )
𝜆 𝑠

(D) 1 𝑠
− ln ( )
𝜆 𝑠+𝑏

MS 20/52

Page 20

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.22 Let 𝑋1 , 𝑋2 and 𝑋3 be three independent and identically distributed random

ln 𝑋1 2
variables having 𝑈(0, 1) distribution. Then 𝐸 [( ) ] equals
ln 𝑋1 𝑋2 𝑋3

(A) 1
6

(B) 1
3

(C) 1
8

(D) 1
4

MS 21/52

Page 21

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.23 Let (𝑋, 𝑌) be a random vector having bivariate normal distribution with
parameters 𝐸 (𝑋 ) = 0, 𝑉𝑎𝑟(𝑋 ) = 1, 𝐸 (𝑌) = −1, 𝑉𝑎𝑟(𝑌) = 4 and
1
𝜌(𝑋, 𝑌) = − , where 𝜌(𝑋, 𝑌) denotes the correlation coefficient between
2

𝑋 and 𝑌. Then 𝑃(𝑋 + 𝑌 > 1 | 2𝑋 − 𝑌 = 1) equals

(A) 1
Φ (− 2)

(B) 1
Φ (− 3)

(C) 1
Φ (− 4)

(D) 4
Φ (− 3)

MS 22/52

Page 22

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.24 Let {𝑋𝑛 }𝑛≥1 be a sequence of independent and identically distributed random
variables having the common probability density function
2
𝑓 𝑥 = { 𝑥3 ,
( ) 𝑥≥1
0, otherwise.
1
If lim 𝑃 (| ∑𝑛𝑖=1 𝑋𝑖 − 𝜃| < 𝜖) = 1 for all 𝜖 > 0, then 𝜃 equals
𝑛→∞ 𝑛

(A) 4

(B) 2

(C) ln 4

(D) ln 2

MS 23/52

Page 23

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.25 Let 0.2, 1.2, 1.4, 0.3, 0.9, 0.7 be the observed values of a random sample of
size 6 from a continuous distribution with the probability density function
1
1, 0<𝑥≤
2
𝑓 (𝑥 ) = 1 1
, <𝑥≤𝜃
2𝜃 − 1 2
{ 0, otherwise,
1
where 𝜃 > is unknown. Then the maximum likelihood estimate and the
2

method of moments estimate of 𝜃 , respectively, are

(A) 7
and 2
5

(B) 47 32
and
60 15

(C) 7 32
and
5 15

(D) 7 47
and
5 60

MS 24/52

Page 24

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.26 For 𝑛 = 1, 2, 3, …, let the joint moment generating function of (𝑋, 𝑌𝑛 ) be
𝑡2
1 𝑛 1
𝑀𝑋,𝑌𝑛 (𝑡1 , 𝑡2 ) = 𝑒 2 (1 − 2𝑡2 )− 2 , 𝑡1 ∈ ℝ, 𝑡2 < .
2
√𝑛 𝑋
If 𝑇𝑛 = , 𝑛 ≥ 1, then which one of the following statements is true?
√𝑌𝑛

(A) The minimum value of 𝑛 for which 𝑉𝑎𝑟(𝑇𝑛 ) is finite is 2

3)
(B) 𝐸 (𝑇10 = 10

(C) 𝑉𝑎𝑟(𝑋 + 𝑌4 ) = 7

(D) 3 𝑡2
√2 −
lim 𝑃(|𝑇𝑛 | > 3) = 1 − ∫ 𝑒 2 𝑑𝑡
𝑛→∞ √ 𝜋 0

MS 25/52

Page 25

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.27 Let 𝑋(1) < 𝑋(2) < ⋯ < 𝑋(9) be the order statistics corresponding to a

random sample of size 9 from 𝑈(0, 1) distribution. Then which one of the
following statements is NOT true?

(A) 𝑋(9)
𝐸( ) is finite
1−𝑋(9)

(B) 𝐸(𝑋(5) ) = 0.5

(C) The median of 𝑋(5) is 0.5

(D) The mode of 𝑋(5) is 0.5

MS 26/52

Page 26

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.28 Let 𝑋1 , 𝑋2 , … , 𝑋16 be a random sample from a 𝑁(4𝜇, 1) distribution and
𝑌1 , 𝑌2 , … , 𝑌8 be a random sample from a 𝑁(𝜇, 1) distribution, where
𝜇 ∈ ℝ is unknown. Assume that the two random samples are independent.
If you are looking for a confidence interval for 𝜇 based on the statistic
1 1
8𝑋 + 𝑌, where 𝑋 = ∑16 8
𝑖=1 𝑋𝑖 and 𝑌 = ∑𝑖=1 𝑌𝑖 , then which one of the
16 8

following statements is true?

(A) There exists a 90% confidence interval for 𝜇 of length less than 0.1

(B) There exists a 90% confidence interval for 𝜇 of length greater than 0.3

(C) 8𝑋+𝑌 1.645 8𝑋+𝑌 1.645
[ − , + ] is the unique 90% confidence interval for 𝜇
33 2√66 33 2√66

(D) 𝜇 always belongs to its 90% confidence interval

MS 27/52

Page 27

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.29 Let 𝑋1 , 𝑋2 , 𝑋3 , 𝑋4 be a random sample from a distribution with the probability
mass function
𝜃 𝑥 (1 − 𝜃 )1−𝑥 , 𝑥 = 0, 1
𝑓 (𝑥 ) = {
0, otherwise,
where 𝜃 ∈ (0, 1) is unknown. Let 0 < 𝛼 ≤ 1. To test the hypothesis
1 1
𝐻0 : 𝜃 = against 𝐻1 : 𝜃 > , consider the size 𝛼 test that rejects 𝐻0 if and
2 2

only if ∑4𝑖=1 𝑋𝑖 ≥ 𝑘𝛼 , for some 𝑘𝛼 ∈ {0, 1, 2, 3, 4}. Then for which one of
the following values of 𝛼 , the size 𝛼 test does NOT exist?

(A) 1
16

(B) 1
4

(C) 11
16

(D) 5
16

MS 28/52

Page 28

JAM 2022 MATHEMATICAL STATISTICS - MS

Q.30 Let 𝑋1 , 𝑋2 , 𝑋3 , 𝑋4 be a random sample from a Poisson distribution with
unknown mean 𝜆 > 0. For testing the hypothesis
𝐻0 : 𝜆 = 1 against 𝐻1 : 𝜆 = 1.5,
let 𝛽 denote the power of the test that rejects 𝐻0 if and only if ∑4𝑖=1 𝑋𝑖 ≥ 5.
Then which one of the following statements is true?

(A) 𝛽 > 0.80

(B) 0.75 < 𝛽 ≤ 0.80

(C) 0.70 < 𝛽 ≤ 0.75

(D) 0.65 < 𝛽 ≤ 0.70

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Section B: Q.31 – Q.40 Carry TWO marks each.

Q.31 1
Let {𝑎𝑛 }𝑛≥1 be a sequence of real numbers such that 𝑎𝑛 = for all 𝑛 ≥ 1.
3𝑛

Then which of the following statements is/are true?

(A) ∑∞
𝑛=1(−1)
𝑛+1
𝑎𝑛 is a convergent series

(B) (−1)𝑛+1
∑∞
𝑛=1 (𝑎1 + 𝑎2 + … + 𝑎𝑛 ) is a convergent series
𝑛

(C) 1
The radius of convergence of the power series ∑∞
𝑛=1 𝑎𝑛 𝑥
𝑛
is
3

(D) 1
∑∞
𝑛=1 𝑎𝑛 sin is a convergent series
𝑎𝑛

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Q.32 Let 𝑓: ℝ2 → ℝ be the function defined by
𝑓(𝑥, 𝑦) = 8(𝑥 2 − 𝑦 2 ) − 𝑥 4 + 𝑦 4 .
Then which of the following statements is/are true?

(A) 𝑓 has 9 critical points

(B) 𝑓 has a saddle point at (2, 2)

(C) 𝑓 has a local maximum at (−2, 0)

(D) 𝑓 has a local minimum at (0, −2)

Q.33 If 𝑛 ≥ 2, then which of the following statements is/are true?

(A) If 𝐴 and 𝐵 are 𝑛 × 𝑛 real orthogonal matrices such that

det(𝐴) + det(𝐵) = 0, then 𝐴 + 𝐵 is a singular matrix

(B) If 𝐴 is an 𝑛 × 𝑛 real matrix such that 𝐼𝑛 + 𝐴 is non-singular, then

𝐼𝑛 + (𝐼𝑛 + 𝐴)−1 (𝐼𝑛 − 𝐴) is a singular matrix

(C) If 𝐴 is an 𝑛 × 𝑛 real skew-symmetric matrix, then 𝐼𝑛 − 𝐴2 is a non-
singular matrix

(D) If 𝐴 is an 𝑛 × 𝑛 real orthogonal matrix, then det(𝐴 − 𝜆𝐼𝑛 ) ≠ 0 for all

𝜆 ∈ {𝑥 ∈ ℝ ∶ 𝑥 ≠ ±1}

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Q.34 Let Ω = {1, 2, 3, … } be the sample space of a random experiment and
suppose that all subsets of Ω are events. Further, let 𝑃 be a probability
function such that 𝑃({𝑖}) > 0 for all 𝑖 ∈ Ω. Then which of the following
statements is/are true?

(A) For every 𝜖 > 0, there exists an event 𝐴 such that 0 < 𝑃 (𝐴) < 𝜖

(B) There exists a sequence of disjoint events {𝐴𝑘 }𝑘≥1 with 𝑃 (𝐴𝑘 ) ≥ 10−6 for

all 𝑘 ≥ 1

(C) There exists 𝑗 ∈ Ω such that 𝑃 ({𝑗}) ≥ 𝑃 ({𝑖}) for all 𝑖 ∈ Ω

(D) Let {𝐴𝑘 }𝑘≥1 be a sequence of events such that ∑∞
𝑘=1 𝑃(𝐴𝑘 ) < ∞.

Then for each 𝑖 ∈ Ω there exists 𝑁 ≥ 1 (which may depend on 𝑖 )
such that 𝑖 ∉ ⋃∞
𝑘=𝑁 𝐴𝑘

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Q.35 A university bears the yearly medical expenses of each of its employees up to a
maximum of Rs. 1000. If the yearly medical expenses of an employee exceed
Rs. 1000, then the employee gets the excess amount from an insurance policy
up to a maximum of Rs. 500. If the yearly medical expenses of a randomly
selected employee has 𝑈(250, 1750) distribution and 𝑌 denotes the amount
the employee gets from the insurance policy, then which of the following
statements is/are true?

(A) 500
𝐸(𝑌) =
3

(B) 3
𝑃(𝑌 > 300) =
10

(C) The median of 𝑌 is zero

(D) The quantile of order 0.6 for 𝑌 equals 100

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Q.36 Let 𝑋 and 𝑌 be two independent random variables having 𝑁(0, 𝜎12 ) and
𝑁(0, 𝜎22 ) distributions, respectively, where 0 < 𝜎1 < 𝜎2 . Then which of the
following statements is/are true?

(A) 𝑋 + 𝑌 and 𝑋 − 𝑌 are independent

(B) 2𝑋 + 𝑌 and 𝑋 − 𝑌 are independent if 2𝜎12 = 𝜎22

(C) 𝑋 + 𝑌 and 𝑋 − 𝑌 are identically distributed

(D) 𝑋 + 𝑌 and 2𝑋 − 𝑌 are independent if 2𝜎12 = 𝜎22

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Q.37 Let (𝑋, 𝑌) be a discrete random vector. Then which of the following
statements is/are true?

(A) If 𝑋 and 𝑌 are independent, then 𝑋 2 and |𝑌| are also independent.

(B) If the correlation coefficient between 𝑋 and 𝑌 is 1, then

𝑃(𝑌 = 𝑎𝑋 + 𝑏) = 1 for some 𝑎, 𝑏 ∈ ℝ

(C) If 𝑋 and 𝑌 are independent and 𝐸 [(𝑋𝑌)2 ] = 0, then 𝑃(𝑋 = 0) = 1 or

𝑃(𝑌 = 0) = 1

(D) If 𝑉𝑎𝑟(𝑋 ) = 0, then 𝑋 and 𝑌 are independent

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Q.38 Let 𝑋1 , 𝑋2 and 𝑋3 be three independent and identically distributed random
variables having 𝑁(0, 1) distribution. If
2𝑋12 2(𝑋2 − 𝑋3 )2
𝑈= and 𝑉= ,
(𝑋2 + 𝑋3 )2 2𝑋12 + (𝑋2 + 𝑋3 )2
then which of the following statements is/are true?

(A) 𝑈 has 𝐹1,1 distribution and 𝑉 has 𝐹1,2 distribution

(B) 𝑈 has 𝐹1,1 distribution and 𝑉 has 𝐹2,1 distribution

(C) 𝑈 and 𝑉 are independent

(D) 1
𝑉 (1 + 𝑈) has 𝐹2,3 distribution
2

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Q.39 Let 𝑋1 , 𝑋2 , 𝑋3 , 𝑋4 be a random sample from a continuous distribution with
1
the probability density function 𝑓 (𝑥) = 𝑒 −|𝑥−𝜃| , 𝑥 ∈ ℝ, where 𝜃 ∈ ℝ is
2

unknown. Let the corresponding order statistics be denoted by
𝑋(1) < 𝑋(2) < 𝑋(3) < 𝑋(4) . Then which of the following statements is/are
true?

(A) 1
(𝑋(2) + 𝑋(3) ) is the unique maximum likelihood estimator of 𝜃
2

(B) (𝑋(1) , 𝑋(2) , 𝑋(3) , 𝑋(4) ) is a sufficient statistic for 𝜃

(C) 1
(𝑋(2) + 𝑋(3) ) (𝑋(2) + 𝑋(3) + 2) is a maximum likelihood estimator of
4

𝜃(𝜃 + 1)

(D) (𝑋1 𝑋2 𝑋3 , 𝑋1 𝑋2 𝑋4 ) is a complete statistic

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Q.40 Let 𝑋1 , 𝑋2 , … , 𝑋𝑛 (𝑛 > 1) be a random sample from a 𝑁(𝜇, 1) distribution,
where 𝜇 ∈ ℝ is unknown. Let 0 < 𝛼 < 1. To test the hypothesis 𝐻0 : 𝜇 = 0
against 𝐻1 : 𝜇 = 𝛿, where 𝛿 > 0 is a constant, let 𝛽 denote the power of the
1
size 𝛼 test that rejects 𝐻0 if and only if ∑𝑛𝑖=1 𝑋𝑖 > 𝑐𝛼 , for some constant
𝑛

𝑐𝛼 . Then which of the following statements is/are true?

(A) For a fixed value of 𝛿, 𝛽 increases as 𝛼 increases

(B) For a fixed value of 𝛼 , 𝛽 increases as 𝛿 increases

(C) For a fixed value of 𝛿, 𝛽 decreases as 𝛼 increases

(D) For a fixed value of 𝛼 , 𝛽 decreases as 𝛿 increases

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Section C: Q.41 – Q.50 Carry ONE mark each.

Q.41 Let {𝑎𝑛 }𝑛≥1 be a sequence of real numbers such that 𝑎1+5𝑚 = 2,
𝑎2+5𝑚 = 3, 𝑎3+5𝑚 = 4, 𝑎4+5𝑚 = 5, 𝑎5+5𝑚 = 6, 𝑚 = 0, 1, 2, … . Then
limsupn→∞ 𝑎𝑛 + liminfn→∞ 𝑎𝑛 equals __________

Q.42 Let 𝑓: ℝ → ℝ be a function such that
20(𝑥 − 𝑦) ≤ 𝑓(𝑥) − 𝑓 (𝑦) ≤ 20(𝑥 − 𝑦) + 2(𝑥 − 𝑦)2
for all 𝑥, 𝑦 ∈ ℝ and 𝑓 (0) = 2. Then 𝑓(101) equals __________

Q.43 Let 𝐴 be a 3 × 3 real matrix such that det(𝐴) = 6 and
1 −1 2
𝑎𝑑𝑗 𝐴 = ( 5 7 1),
−1 1 1
where 𝑎𝑑𝑗 𝐴 denotes the adjoint of 𝐴.
Then the trace of 𝐴 equals __________ (round off to 2 decimal places)

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Q.44 Let 𝑋 and 𝑌 be two independent and identically distributed random variables
having 𝑈(0, 1) distribution. Then 𝑃(𝑋 2 < 𝑌 < 𝑋) equals __________
(round off to 2 decimal places)

Q.45 3
Consider a sequence of independent Bernoulli trials, where is the probability
4

of success in each trial. Let 𝑋 be a random variable defined as follows: If the
first trial is a success, then 𝑋 counts the number of failures before the next
success. If the first trial is a failure, then 𝑋 counts the number of successes
before the next failure. Then 2𝐸(𝑋) equals __________

Q.46 Let 𝑋 be a random variable denoting the amount of loss in a business. The
moment generating function of 𝑋 is
2 2
𝑀(𝑡) = ( ) , 𝑡 < 2.
2−𝑡
If an insurance policy pays 60% of the loss, then the variance of the amount
paid by the insurance policy equals __________ (round off to 2 decimal
places)

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Q.47 Let (𝑋, 𝑌) be a random vector having the joint moment generating function
1 −𝑡 1 𝑡 2 1 1 𝑡 2
( )
𝑀 𝑡1 , 𝑡2 = ( 𝑒 1 + 𝑒 1) ( + 𝑒 2) , (𝑡1 , 𝑡2 ) ∈ ℝ2 .
2 2 2 2
Then 𝑃 ( |𝑋 + 𝑌| = 2) equals __________ (round off to 2 decimal places)

Q.48 Let 𝑋1 and 𝑋2 be two independent and identically distributed random

variables having 𝜒22 distribution and 𝑊 = 𝑋1 + 𝑋2 . Then 𝑃(𝑊 > 𝐸(𝑊))
equals __________ (round off to 2 decimal places)

Q.49 Let 2.5, −1.0, 0.5, 1.5 be the observed values of a random sample of size 4
from a continuous distribution with the probability density function
1 −|𝑥−2| 3 1
(𝑥−𝜃)2
𝑓 (𝑥 ) = 𝑒 + 𝑒− 2 , 𝑥 ∈ ℝ,
8 4√2𝜋
where 𝜃 ∈ ℝ is unknown. Then the method of moments estimate of 𝜃
equals __________ (round off to 2 decimal places)

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Q.50 Let 𝑋1 , 𝑋2 , … , 𝑋25 be a random sample from a 𝑁(𝜇, 1) distribution, where
𝜇 ∈ ℝ is unknown. Consider testing of the hypothesis 𝐻0 : 𝜇 = 5.2 against
1
𝐻1 : 𝜇 = 5.6. The null hypothesis is rejected if and only if ∑25
𝑖=1 𝑋𝑖 > 𝑘 , for
25

some constant 𝑘 . If the size of the test is 0.05, then the probability of type-II
error equals __________ (round off to 2 decimal places)

Section C: Q.51 – Q.60 Carry TWO marks each.

Q.51 Let 𝑓 ∶ ℝ2 → ℝ be the function defined by 𝑓 (𝑥, 𝑦) = 𝑥 2 − 12𝑦.
If 𝑀 and 𝑚 be the maximum value and the minimum value, respectively,
of the function 𝑓 on the circle 𝑥 2 + 𝑦 2 = 49, then |𝑀 | + |𝑚|
equals __________

Q.52 The value of
2 2−𝑥 2𝑦
∫ ∫ (𝑥 + 𝑦)2 𝑒 𝑥+𝑦 𝑑𝑦 𝑑𝑥
0 0

equals __________ (round off to 2 decimal places)

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Q.53 1 −1 2 𝑥1
Let 𝐴 = (−1 0 1) and let (𝑥2 ) be an eigenvector corresponding to
2 1 1 𝑥3
the smallest eigenvalue of 𝐴, satisfying 𝑥12 + 𝑥22 + 𝑥32 = 1. Then the value of
|𝑥1 | + |𝑥2 | + |𝑥3 | equals __________ (round off to 2 decimal places)

Q.54 Five men go to a restaurant together and each of them orders a dish that is
different from the dishes ordered by the other members of the group. However,
the waiter serves the dishes randomly. Then the probability that exactly one of
them gets the dish he ordered equals __________ (round off to 2 decimal
places)

Q.55 Let 𝑋 be a random variable having the probability density function
𝑎𝑥 2 + 𝑏, 0≤𝑥≤3
𝑓 (𝑥 ) = {
0, otherwise,
2
where 𝑎 and 𝑏 are real constants, and 𝑃 (𝑋 ≥ 2) = .
3

Then 𝐸 (𝑋 ) equals __________ (round off to 2 decimal places)

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Q.56 A vaccine, when it is administered to an individual, produces no side effects
4 2
with probability , mild side effects with probability and severe side effects
5 15
1
with probability . Assume that the development of side effects is independent
15

across individuals. The vaccine was administered to 1000 randomly selected
individuals. If 𝑋1 denotes the number of individuals who developed mild side
effects and 𝑋2 denotes the number of individuals who developed severe side
effects, then the coefficient of variation of 𝑋1 + 𝑋2 equals __________
(round off to 2 decimal places)

Q.57 Let {𝑋𝑛 }𝑛≥1 be a sequence of independent and identically distributed random
variables having 𝑈(0, 1) distribution. Let 𝑌𝑛 = 𝑛 min{𝑋1 , 𝑋2 , … , 𝑋𝑛 },
𝑛 ≥ 1. If 𝑌𝑛 converges to 𝑌 in distribution, then the median of 𝑌
equals __________ (round off to 2 decimal places)

Q.58 Let 𝑋(1) < 𝑋(2) < 𝑋(3) < 𝑋(4) < 𝑋(5) be the order statistics based on a

random sample of size 5 from a continuous distribution with the probability
density function
1
𝑓 (𝑥 ) = { 𝑥 2 , 1<𝑥<∞
0, otherwise.
Then the sum of all possible values of 𝑟 ∈ {1, 2, 3, 4, 5} for which 𝐸(𝑋(𝑟) )
is finite equals __________

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Q.59 Consider the linear regression model 𝑦𝑖 = 𝛽0 + 𝛽1 𝑥𝑖 + 𝜖𝑖 , 𝑖 = 1, 2, … , 6,
where 𝛽0 and 𝛽1 are unknown parameters and 𝜖𝑖 ’s are independent and
identically distributed random variables having 𝑁(0, 1) distribution. The data
on (𝑥𝑖 , 𝑦𝑖 ) are given in the following table.

𝑥𝑖 1.0 2.0 2.5 3.0 3.5 4.5

𝑦𝑖 2.0 3.0 3.5 4.2 5.0 5.4

̂0 and 𝛽
If 𝛽 ̂1 are the least squares estimates of 𝛽0 and 𝛽1 , respectively,
̂0 + 𝛽
based on the above data, then 𝛽 ̂1 equals __________ (round off to 2
decimal places)

Q.60 Let 𝑋1 , 𝑋2 , … , 𝑋9 be a random sample from a 𝑁(𝜇, 𝜎 2 ) distribution, where
1
𝜇 ∈ ℝ and 𝜎 > 0 are unknown. Let the observed values of 𝑋 = ∑9𝑖=1 𝑋𝑖
9
1 2
and 𝑆 2 = ∑9𝑖=1(𝑋𝑖 − 𝑋) be 9.8 and 1.44, respectively. If the likelihood
8

ratio test is used to test the hypothesis 𝐻0 : 𝜇 = 8.8 against 𝐻1 : 𝜇 > 8.8, then

the 𝑝-value of the test equals __________ (round off to 3 decimal places)

MS 45/52

Document Details

Board / OrgIIT
ExamJoint Admission Test for M.Sc
TypeQuestion Paper
Pages44
Languageenglish
Updated30 Apr 2026