LOYOLA COLLEGE (AUTONOMOUS), CHENNAI –600 034
B.Sc., DEGREE EXAMINATION – STATISTICS
FOURTH SEMESTER – NOVEMBER 2003
ST-4501/STA503 – DISTRIBUTION THEORY
31.10.03 Max:100 marks
9.00-12.00
SECTION-A
Answer ALL the questions. (10×2=20 marks)
- Let f(x,y) = e
0 else where.
Find the marginal p.d.f of X.
- Let the joint p.d.f of X1 and X2 be f(x1,y1) = and x2 = 1, 2.
Find P(X2 = 2).
- If X ~ B (n, p), show that E
- If X1 andX2 are stochastically independent, show that M (t1, t2) = M (t1, 0) M (0, t2), ” t1, t2.
- Find the mode of the distribution if X ~ B .
- If the random variable X has a Poisson distribution such that P (X = 1) = P (X = 2),
Find p (X = 4).
- Let X ~ N (1, 4) and Y ~ N (2, 3). If X and Y are independent, find the distribution of
Z = X -2Y.
- Find the mean of the distribution, if X is uniformly distributed over (-a, a).
- Find the d.f of exponential distribution.
- Define order statistics based on a random sample.
SECTION-B
Answer any FIVE questions. (5×8=40 marks)
- Let f(x1, x2) = 12
0 ; elsewhere
Find P .
- The m.g.f of a random variable X is
Show that P (= .
- Find the mean and variance of Negative – Binomial distribution.
- Show that the conditional mean of Y given X is E (Y÷X=x)for trinomial
- Find the m.g.f of Normal distribution.
- If X has a standard Cauchy distribution, find the distribution of X2. Also identify its
distribution.
- Let (X, Y) have a bivariate normal distribution. Show that each of the marginal
distributions is normal.
- Let Y1, Y2 , Y3 andY4 denote the order statistics of a random sample of size 4 from a
distribution having a p.d.f.
f(x) = 2x ; 0 < x < 1
0 ; elsewhere . Find p .
SECTION-C
Answer any TWO questions. (2×20=40 marks)
- Let x (X1, X2) be a random vector having the joint p.d.f.
f (x1, x2) = 2 ; 0 < x1 < x2 <1
0 ; elsewhere
(i) Find the correlation between x1 and x2 (10)
(ii) Find the conditional variance of x1 / x2 (10)
- a) Find the mean and variance of hyper – geometric distribution. (10)
- b) Let X and Y have a bivarite normal distribution with
Determine the following probabilities
- i) P (3 < Y <8) ii) P (3 < Y< 8 ½X =7) (10)
- i) Derive the p.d.f of ‘t’ – distribution with ‘n’ d.f (10)
- ii) If X1 and X2 are two independent chi-square variate with n1 and n2f. respectively,
show that (10)
- i) Let Y1, Y2 and Y3 be the order statistics of a random sample of size 3 from a
distribution having p.d.f.
1 ; 0 < x < 1
f (x) =
0 ; elsewhere.
Find the distribution of sample range. (10)
ii)Derive the p.d.f of F variate with (n1, n2) d.f. (10)
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