sampling MCQs – Page 2

A. Same as the standard error of the mean

B. Error caused by selecting a bad sample

C. Standard deviation multiplied by the sample size

B. All the items under investigation

C. None of the above

D. A portion of the sample

B. Sampling

C. None of these

D. Survey

A. Population

B. Sampling

C. Estimate

A. All People living in a country

B. All People living in the are under study

D. None of the above

A. ?/?n?N n/N 1

B. 26/?n?N n/N 1

C. 26/?n

A. Point

B. unit

C. w.r.m

A. Approximately normal because the sample size is large in comparsion to the population size

B. Approximately normal because is always approximately normally distributed

D. Approximately normal because of the central limit theorem

A. ?x = ?x /?n

C. Population distribution is uniform

D. ?1 = ?x

A. Sampling error of statistics

C. Sampling distribution of statistics

D. None of these

A. Sometimes normal for large sample sizes

C. Always normal for all sample sizes

D. Sometimes normal for all sample sizes

B. Small

C. Unknown

D. Large

A. None of these alternatives is correct.

C. Normal because is always approximately normally distributed

D. Normal because the sample size is small in comparison to the population size

A. None of these

B. Close another

C. Mixed

A. A sample

C. A population

D. A population parameter

A. Simple random sampling

B. Quota sampling

C. Systematic sampling

A. Group

C. Correction

D. Un-finite

A. Cluster

B. Random Sampling

D. Random digit

A. Exactly

B. Approximately normal because the sample size is small relative to the population size

D. Approximately normal because of the central limit theorem

A. Stratified sampling

B. Probabilistic sampling

C. Cluster sampling