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REVISED Statistics MCQs on Sampling and Non Sampling Distributions

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A sampling distribution is the probability distribution of a statistic (like the mean, median, proportion, variance, etc.) based on a random sample taken from a population. Here, "nonsampling" refers to errors not related to the act of sampling.

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Institution
Introduction To Statistics
Course
Introduction to Statistics

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REVISED Statistics MCQs on Sampling and Sampling Distributions


Q1: Probability sampling is the procedure that gives all units

a) A chance to be included in the study

b) An equal chance to be selected

c) An equal, calculable and non-zero chance to be selected

d) (a) and (b) above

Q2: Which of the following is not an example of non-sampling risk?

a) Failing to evaluate results properly

b) Use of an audit procedure inappropriate to achieve a given audit

objective

c) Obtaining an unrepresentative sample

d) Failure to recognize an error

Q3: The advantage of using statistical sampling techniques is that such

techniques

a) Mathematically measure risk.

b) Eliminate the need for judgmental decisions

c) Are easier to use than other sampling techniques

d) Have been established in the courts to be superior to non-

statistical sampling

Q4: Which of the following is an example of using statistical

sampling?

a) Statistical sampling will be looked upon by the courts as

providing superior audit evidence.

b) Statistical sampling requires the auditor to make fewer

judgmental decisions.

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Institution
Introduction to Statistics
Course
Introduction to Statistics

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