Exam 8: Tools Used in Gathering Audit Evidence

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Population items with a zero balance have the same chance of being chosen as those with dollar balances when using MUS sampling.

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Evaluating statistical sample results is one of the task performed by GAAS.

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The use of haphazard selection of a sample allows for random,statistical evaluation.

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The sample size decreases as the allowance for sampling error decreases.

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The probability proportional to size sampling is designed to test for

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The auditor's risk of concluding that the book value of inventory is correct when it is materially misstated is the risk of

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Using Attribute Sampling the auditor normally tests for multiple attributes using the same source documents.

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A major disadvantage of MUS sampling is which of the following?

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Classical methods of sampling are relatively easier to use than is MUS sampling.

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The most efficient method of testing a large population is the use of nonstatistical sampling.

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Nonstatistical sampling Describe nonstatistical sampling and how it is used by the auditor.

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Sampling risk is defined as the risk that an inference drawn from a sample will be incorrect.

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Haphazard sampling is an acceptable method of sampling provided the auditor believes the sample to be

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The classical sampling methods include difference estimation,ratio estimation,and mean-per-unit sampling.

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MUS calculation Present the formula for the sample interval when using MUS sampling and identify each component of the formula.

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Monetary unit sampling (MUS)is a widely used statistical sampling method because it results in an efficient sample size and concentrates on the dollar value of the account balances.

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The statistical sampling method most commonly used to test control procedures is

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Which of the following task is not performed by Generalized audit software?

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In testing for the reasonableness of an account balance,if MUS sampling cannot be used because of its limitations,what is an alternative statistical method?

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Statistical sampling combines the theory of probability and statistical inference with audit judgment and experience.

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