Kerala PSC Previous Years Question Paper & Answer

Title : HSST - STATISTICS - SPECIAL RECRUITMENT FOR SC / ST AND ST ONLY
Question Code : A

Page:10


Below are the scanned copy of Kerala Public Service Commission (KPSC) Question Paper with answer keys of Exam Name 'HSST - STATISTICS - SPECIAL RECRUITMENT FOR SC / ST AND ST ONLY' And exam conducted in the year 2017. And Question paper code was '016/2017/OL'. 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.

page: 10 out of 12
Excerpt of Question Code: 016/2017/OL

D:-Neither paired nor correlated

Correct Answer:- Option-C
Question80:-With usual notations, the criterion for acceptance in SPRT is

A:- lambda_m <= ((1-beta))/(alpha) ~
lambda_m >= ((1-beta))/(alpha) *

C:-‘lambda_m <=(beta)/((1-alpha)) *

D:-* lambda_m >= (beta)/((1-alpha)*

Correct Answer:- Option-C
Question81:-The Poisson process with parameter A is a renewal counting process for which the unit lifetimes have
distribution with common parameter A.

A:-Poisson

B:-Exponential

C:-Uniform

D:-Geometric

Correct Answer:- Option-B
Question82:-Let *{X_n, n = 0, 1, 2...}' be a Branching process and the corresponding offspring distribution has a pgf *P (s)
= (2)/(3) + (5+5^2)/(6) ` . Find the probability of extinction of the process

A:-0

B:-0.25

C:-0.66

D:-1

Correct Answer:- Option-D
Question83:-Let *{X_n}* be a renewal process with ‘mu = E (X_1) ‘Tim _(t->00) (M (t))/(t) = .....°

(t)/(mu) *

D:-* (mu)/(t) ‏٭‎

Correct Answer:- Option-A
00९51084: -1 ` >( । 'ऽ are independent Poisson variates with respective parameters ‘lambda_i’, for ‘i= 1, 2, ...k’, then the
conditional distribution of *X_1, X_2,... X_k’ given their sum ‘sum_(i=1)*k X_i=n isa distribution with
parameters and :

A:-Binomial with parameters “ന്‌ and * (1)/(k)*

B:-Binomial with parameters *k* and *(1)/(n)*

C:-Multinomial with parameters ‘n* and *(1)/(k)°

D:-Multinomial with parameters *k’ and *(1)/(n)°

Correct Answer:- Option-C
Question85:-If * (X_1, X_2)° is a Bivariate normal random vector with parameters ‘(mu_{X1}, mu_{X2}, sigma *2_X_1,
sigma*2_X_2, rho’), when ‘sigma*2_X_1 = sigma*2_X_2 * and ‘rho = 0° , the density function is called

A:-Elliptical Normal

B:-Circular Normal

C:-Symmetrical Normal

D:-Uniform Normal

Correct Answer:- Option-B
Question86:-If the random vector *X* follows Multivariate Normal distribution with mean vector 0 and dispersion matrix *I°
and ‘Q i= X*'A_iX* are quadratic forms of rank ‘r_i* such that ‘sum_(i=1)*k A_i = |_p’ , then a necessary and sufficient
condition णि ` 0 i's to be distributed as independent chi-square random variables with ‘r_i* d.f is that

0:-` 5017) (= 1) ^| 1 ।
Correct Answer:- Option-B

Question87:-The relationship between partial correlation coefficients ‘r_{ij.k}, multiple correlation

coefficients ‘R_{i.jk}’ and simple correlation coefficients ‘r_{ij}* is

As र^2. 1.23 = 1+ (1-1^2 12) (1 -1^2. 13.2)

९^2. 1.23 = 1 - (1- 1^2. 12) (1-1^2. 13.2)`

௦852 1.23 - 14 (1752 1)/ (1-7^2. 13.2)`

0; 852 1.23 - 1. (175212) / 1-7213”

Correct Answer:- Option-B

Question88:-Hotelling's *T*2° statistic and Mahalnobis ‘D*2° statistic are connected by the relationship

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