If the population is normally distributed, when is the sampling distribution of the sample mean also normal?
Correct answer A. Always
Topic / 37 questions
Sampling MCQs cover the methods used to select part of a population for study and the errors and distributions that come with them. They suit statistics students and job-test candidates, and each question shows the correct answer right after you choose an option, so you learn as you practise.
Correct answer A. Always
Correct answer A. Only once
Correct answer B. Sampling units
Correct answer A. Four
Correct answer A. Known
Correct answer A. Standard error
Correct answer B. Sampling error
Correct answer D. None of these alternatives is correct
Correct answer A. Normal if the population is normally distributed
Correct answer D. Population
Correct answer A. Difference between the value of the sample mean and the value of the population mean
Correct answer C. To make voters lists
Correct answer D. Census
Correct answer D. Population distribution is normal
Correct answer B. Reducing the amount of data
Correct answer A. Increasing the sample size
Correct answer D. Sampling
Correct answer D. Finite
Correct answer C. Sampling distribution
Correct answer B. Non-random sampling
This topic explains how researchers draw conclusions about a population from a smaller sample. Questions compare probability methods, such as simple random, stratified, systematic and cluster sampling, with non-probability methods like convenience and quota sampling. You will see items on dividing a heterogeneous population into homogeneous strata, the meaning of sampling error as the difference between a sample statistic and the population parameter, and how increasing sample size reduces that error. Sampling distribution questions test assumptions about sample size and the central limit theorem. These ideas appear in statistics, economics and research methods papers.
Pakistan
India
Bangladesh
In stratified sampling, the population is divided into homogeneous groups called strata and a sample is drawn from every stratum. In cluster sampling, the population is divided into groups, usually by area, and whole clusters are selected at random. Stratified sampling improves precision, while cluster sampling mainly reduces cost.
Sampling error can be reduced mainly by increasing the sample size, since larger samples tend to give estimates closer to the population value. Using a suitable design, such as stratified sampling for a varied population, also helps. Sampling error cannot be removed completely unless the whole population is studied.
MCQs360 has 39 Sampling MCQs in its Statistics section. All are free to attempt without an account, and the answer to each appears instantly, so you can check sampling methods and definitions quickly during revision.
Last reviewed October 2026