ISS Statistics Paper I (Old Subjective Pattern): Questions 30 - 34 of 165

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Question number: 30

» Numerical Analysis » Interpolation Formulae » Lagrange

Appeared in Year: 2013

Essay Question▾

Describe in Detail

Use Simpson’s one-third rule to estimate approximately the area of the cross section of a river 80 feet wide, the depth d (in feet) at a distance x from one bank being given by the following table. :

x

0

10

20

30

40

50

60

70

80

d

0

4

7

9

12

15

14

8

3

Explanation

T he one-third rule of the integrand using Simpson’s rule is

abf(x)dxh3((y0+yn)+4(y1+y3++yn1)+2(… (139 more words) …

Question number: 31

» Probability » Convergence » In Probability

Appeared in Year: 2011

Essay Question▾

Describe in Detail

Let X 1, X 2, …, X n be a sequence of i. i. d. r. v. s with E (X i) = 0 and V (X i) = 1. Show that the sequence Sn2=1ni=1nXi2 tends to 1 in probability.

Explanation

we have known that Sn2 is the sample variance of the sequence. The mean is

The convergence in probability is

P[XnX<ϵ]=1asn

Using Chebychev’s inequality

P[Sn2E(S… (177 more words) …

Question number: 32

» Probability » Bayes' Theorem

Appeared in Year: 2012

Essay Question▾

Describe in Detail

The ith box contains 2i white balls and 6 - 2i black balls, i = 1 (1) 3. A fair die is cast once. 3 balls are taken at random from box 1, box 2 or box 3 according as the die shows up face 1, any of 2 and 3, or any of 4, 5 and 6, respectively. Let X denotes the number of white balls drawn. Find E (X).

Explanation

E 1 = Box 1 2 white and 4 black when the fair dice value is x 1 =1

E 2 =Box 2 4 white and 2 black when the fair dice value is x 2 = (2, 3)

E 3 =Box 3 6 white when the fair dice value… (287 more words) …

Question number: 33

» Probability » Standard Probability Distributions » Negative Binomial

Appeared in Year: 2012

Essay Question▾

Describe in Detail

Items from a large lot are examined one by one until r items with a rare manufacturing defect are found. The proportion of items with this type of defect in the lot is known to be p. Let X denote the number of items needed to be examined. Derive the probability distribution of X, and find E (X).

Explanation

In this question, the sample size is n = x+r given and each trail only two possible outcomes. The probability of defect is same for each trail and trails are independent. The experiment continues until r defectives.

In the given question the number of manufacturing defect are fixed which is… (186 more words) …

Question number: 34

» Probability » Expectation

Appeared in Year: 2011

Essay Question▾

Describe in Detail

Let (X, Y) have a bivariate distribution with finite moments upto order 2. Show that

(i) E (E (X|Y) ) =E (X)

(ii) V (X) ≥ V (X|Y)

Explanation

Let (X, Y) have a bivariate distribution with density function id f (x, y). The conditional expectation is define as

E(Xy)=xfXY(xy)dx

Note that E (X|y) is a function of y. If… (340 more words) …

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