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Below are the scanned copy of Kerala Public Service Commission (KPSC) Question Paper with answer keys of Exam Name 'LECTURER IN STATISTICS KERALA COLLEGIATE EDUCATION' And exam conducted in the year 2014. And Question paper code was '122/2014'. Medium of question paper was in Malayalam or English . Booklet Alphacode was 'A'. Answer keys are given at the bottom, but we suggest you to try answering the questions yourself and compare the key along wih to check your performance. Because we would like you to do and practice by yourself.
52,
53.
55.
൭6.
Let R be the sample correlation coefficient of a sample of size n from a bivaraite
normal population with correlation coefficient p. If p=0 then the statistic g جع = ன follows
L=
a:
(4) t distribution with (n—1) d.f. (8) t distribution with (n—2) d.f.
{C) F distribution with (1, n) d.f. (D) ¥ distribution with (1, n—1) d.f,
The distribution of Hotelling’s 13 51211911: 1011೧೪5 :
(A) Chi - square distribution (8) tdistribution
(9) Wishart distribution (D) F distribution
Let X3, ಸ್ತು... X, (n =P} be iid random vectors fram Np (0, ¥). Then the distribution of
8 ے = മട 20) 0-0 Where X = ا 15:
n
(க WE n-1) ற ۷۳۳ 00 © W م۷۷۰ م لحم n)
n
15172
If (X, X)' follows a bivaraite normal distribution with dispersion matrix 72-1 ] then
the dispersion matrix of (X;+X,, X; - ^ 15 :
3 0 3 2 3 9 3.2
(ಗಿ) [ം ٦ (ಗ) (1 1 | (೧ (1 . (7) ॥ A
If [N, t e T} is a Poisson process with rate A then which of the र्ण is/are correct :
(a) N, has independent increment
(ण) (1 ++ - पि, = 1) =) 1000)
(८) N, is a stationary increment process
(A) abandc (8) aandb (€) aandce (D) गावल
57. I (X, n=0, مما | 15 @ Galton - Watson branching process with E(X;)=m, then the
probability of ultimate extinction is 1 if :
(A) m>1 (B} m>2 (ಲ ms2 D) m=1
58. LetY), Y,and Y, be the three principal components of the random vector >= (21, 22, 33).
Which of the following is/are true :
(@) VOV + VIV + V(Y3)= V(X)) + V(X)) யற்று
ஐ று
€ 8 Y5 are uncorrelated
(^) (ध) शात् (€) (8) (b)and (c) (^) (a)and (b) 12) (a), (b) and (c)
59. عط ٤ہ ۰ ٢۷۸۷۳ following statement(s) is/are true 7
(a) സ state space of a finite Markov chain contain atleast one recurrent state
(0) In a finite irreducible Markov chain all states are non-null recurrent
[9] A null recurrent aperodic state of a Markov chain is called ergodic
@ @and®) ൫ ഭൂജജി്ര (©) ജ്ജ് (7) (ग), (9 जद (©
122/2014 10 A