Important questions about Sampling Distributions. Sampling Distributions MCQ questions with answers. Sampling Distributions exam questions and answers for students and interviews.

If the standard deviation of the population is 35 and the sample size is 9 then the standard deviation of sampling distribution is

Options

A : a. 12.67

B : b. 11.67

C : c. 13.67

D : d. 14.67

In the systematic sampling, the value of k is classified as

Options

A : a. sampling interval

B : b. sub stage interval

C : c. secondary stage interval

D : d. multistage interval

The type of stratified proportion sampling in which the information is gathered on convenience basis from different groups of population is classified as

Options

A : a. purposive sampling

B : b. judgment sampling

C : c. quota sampling

D : d. convenience sampling

The parameters of population are denoted by the

Options

A : a. roman letters

B : b. lower case Greek letter

C : c. upper case Greek letter

D : d. associated roman alphabets

The mistakes or biases which are considered as causes of non-sampling errors must includes

Options

A : a. incorrect enumeration of population

B : b. non random sample selection

C : c. incomplete questionnaire

D : d. all of above

Regardless to difference in distribution of sample and population, the mean of sampling distribution must be equal to

Options

A : a. degree of freedom

B : b. statistic error

C : c. population mean

D : d. standard error

The cluster sampling, stratified sampling and systematic sampling are types of

Options

A : a. direct sampling

B : b. indirect sampling

C : c. random sampling

D : d. non random sampling

The bias occurred in collection of sample because of confusing questions in the questionnaire is classified as

Options

A : a. non-responsive bias

B : b. non distribution bias

C : c. non wording bias

D : d. wording bias

The bias in which few respondents responds to offered questionnaire is classified as

Options

A : a. responsive bias

B : b. non-responsive bias

C : c. distributed error

D : d. concerning error

The principle which states that larger the sample size larger the accuracy and stability is part of

Options

A : a. principle of sampling error

B : b. principle of inertia

C : c. principle of statistical regularity

D : d. principle of statistical irregularity

The unknown or exact value that represents the whole population is classified as

Options

A : a. parameters

B : b. estimators

C : c. absolute statistics

D : d. coverage estimator

The listing of elements in the population with the identifiable number is classified as

Options

A : a. regularity experimental frame

B : b. indirect experiment frame

C : c. direct experimental frame

D : d. frame for experiment

In statistical analysis, the sample size is considered large if

Options

A : a. n > or = 30

B : b. n < or = 30

C : c. n > or = 50

D : d. n < or = 50

If the standard deviation of the population is known then the ? must be equal to

Options

A : a. absolute value of estimator

B : b. error free mean

C : c. expected value of mean

D : d. inferential value of mean

The methods in statistics that uses sample statistics to estimate the parameters of the population are considered as

Options

A : a. inferential statistics

B : b. absolute statistics

C : c. coverage statistics

D : d. random sample statistics

In systematic sampling, the population is 200 and the selected sample size is 50 then the sampling interval is

Options

A : a. 250

B : b. 0.25

C : c. 4

D : d. 40

In cluster sampling, the elements of selected clusters are classified as

Options

A : a. elementary units

B : b. primary units

C : c. secondary units

D : d. proportional units

The method of sampling in which the population is divided in to mutual exclusive groups that have useful context in statistical research is classified as

Options

A : a. stratified sampling

B : b. regular group sampling

C : c. irregular group sampling

D : d. direct group sampling

If the mean of population is 25 then the mean of sampling distribution is

Options

A : a. 25

B : b. 5

C : c. 30

D : d. 35

If the population parameter ? and the unbiased estimate of population is x? then the sampling error is as