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# Sardar Krushinagar Dantiwada Agricultural Uiversity 2010 B.Sc Agriculture for competitive -university question paper

Tuesday, 05 February 2013 03:40Web

MULTIPLE option ques.
B.Sc Agriculture
(For Competitive Examination)

Regarding the number of strata, which statement is true?
(a) Less the number of strata, better it is
(b) More the number of strata, poorer it is
(c) More the number of strata, better it is
(d) Not more than ten items should be there in a stratum

Under equal allocation in stratified sampling, the sample from every stratum is:
(a) proportional to stratum size
(b) of identical size from every stratum
(c) in proportion to the per unit cost of survey of the stratum
(d) all the above

Under proportional allocation, the size of the sample from every stratum depends on:
(a) total sample size
(b) size of the stratum
(c) population size
(d) all the above

Under proportional allocation 1 get:
(a) an optimum sample
(b) a self-weighing sample
(c) both (a) and (b)
(d) neither (a) nor (b)

How many kinds of optimum allocation are in common use?
(a) One
(b) Two
(c) Three
(d) Four

Least square estimators of the parameters of a linear model are:
(a) unbiased
(b) BLUE
(c) UMVU
(e) all the above

Least square estimators of the parameters of a linear model are not:
(a) necessarily consistent
(b) scale invariant
(c) asymptotically normal
(d) all the above

A hypothesis may be classified as:
(a) simple
(b) composite
(c) null
(d) all the above

The hypothesis under test is:
(a) simple hypothesis
(b) option hypothesis
(c) null hypothesis
(d) none of the above

Whether a test is 1 sided or 2 sided depends on:
(a) option hypothesis
(b) composite hypothesis
(c) null hypothesis
(d) simple hypothesis

(a) 1 type of fault
(b) 2 types of fault
(c) 3 types of fault
(d) 4 types of fault

Power of a test is related to:
(a) kind I fault
(b) kind II fault
(c) kinds I and II errors both
(d) none of the above

If ? is the actual parameter and ? the kind II error, the function ?(?) is known as:
(a) power function
(b) power of the test
(c) operating characteristic function
(d) none of the above

In terms of kind II fault ? and ?, the actual parameter, the function one -? (?) is called:
(a) power of the test
(b) power function
(c) OC function
(d) none of the above

Out of the 2 kinds of fault in testing, the more severe fault is:
(a) kind I fault
(b) kind II fault
(c) both (a) and (b) are equally severe-
(a) no fault is severe

Area of the critical region depends on:
(a) size of kind I fault
(b) size of kind II fault
(c) value of the statistic
(d) number of observations

Regression coefficient is independent of
(a) Origin
(b) Scale
(c) Both (a) & (b)
(d) Nither (a) nor (b)
(e)
Randomization in an experiment helps to eliminate:
(a) systematic influences
(b) human biases
(c) dependence among observations
(d)all the above

Binomial and Poisson distribution are of :
a. discrete kind
b. continuous kind
c. discrete as well as continuous
d. none of above

Normal distribution curve with regard to bulginess :
a. leptokurtic
b. mesokurtic
c. platykurtic
d. not definite

MULTIPLE CHOICE QUESTIONS

B.Sc Agriculture

(For Competitive Examination)

Regarding the number of strata, which statement is true?

(a) Less the number of strata, better it is

(b) More the number of strata, poorer it is

(c) More the number of strata, better it is

(d) Not more than ten items should be there in a stratum

Under equal allocation in stratified sampling, the sample from each stratum is:

(a) proportional to stratum size

(b) of same size from each stratum

(c) in proportion to the per unit cost of survey of the stratum

(d) all the above

Under proportional allocation, the size of the sample from each stratum depends on:

(a) total sample size

(b) size of the stratum

(c) population size

(d) all the above

Under proportional allocation one get:

(a) an optimum sample

(b) a self-weighing sample

(c) both (a) and (b)

(d) neither (a) nor (b)

How many types of optimum allocation are in common use?

(a)    One

(b)   Two

(c)    Three

(d)   Four

Least square estimators of the parameters of a linear model are:

(a) unbiased

(b) BLUE

(c) UMVU

(e)    all the above

Least square estimators of the parameters of a linear model are not:

(a) necessarily consistent

(b) scale invariant

(c) asymptotically normal

(d) all the above

A hypothesis may be classified as:

(a) simple

(b) composite

(c) null

(d) all the above

The hypothesis under test is:

(a) simple hypothesis

(b) alternative hypothesis

(c) null hypothesis

(d) none of the above

Whether a test is one sided or two sided depends on:

(a) alternative hypothesis

(b) composite hypothesis

(c) null hypothesis

(d) simple hypothesis

(a) one kind of error

(b) two kinds of error

(c) three kinds of error

(d) four kinds of error

Power of a test is related to:

(a) type I error

(b) type II error

(c) types I and II errors both

(d) none of the above

If q is the true parameter and b the type II error, the function b(q) is known as:

(a) power function

(b) power of the test

(c) operating characteristic function

(d) none of the above

In terms of type II error b and q, the true parameter, the function 1 -b (q) is called:

(a) power of the test

(b) power function

(c) OC function

(d) none of the above

Out of the two types of error in testing, the more severe error is:

(a) type I error

(b) type II error

(c) both (a) and (b) are equally severe-

(a)    no error is severe

Area of the critical region depends on:

(a) size of type I error

(b) size of type II error

(c) value of the statistic

(d) number of observations

Regression coefficient is independent of

(a)    Origin

(b)   Scale

(c)    Both (a) & (b)

(d)   Nither (a) nor (b)

(e)

Randomization in an experiment helps to eliminate:

(a) systematic influences

(b) human biases

(c) dependence among observations

(d)all the above

Binomial and Poisson distribution are of :

a. discrete type

b. continuous type

c. discrete as well as continuous

d. none of above

Normal distribution curve with regard to bulginess :

a. leptokurtic

b. mesokurtic

c. platykurtic

d. not definite