Which statement about statistical sampling in auditing is true?

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Multiple Choice

Which statement about statistical sampling in auditing is true?

Explanation:
Statistical sampling in auditing can be used for both tests of controls and substantive testing. The main idea is to draw conclusions about a population by examining a representative sample and to quantify the risk that the sample leads to an incorrect conclusion. For testing controls, sampling helps determine whether a control operates effectively by evaluating a subset of control occurrences and estimating the overall control reliability. For substantive testing, sampling allows the auditor to infer whether account balances or transactions are fairly stated by testing a sample and projecting the findings to the population, with an explicit sampling risk. This flexibility is why the statement is true: auditors routinely apply sampling methods in both types of testing, choosing statistical or non-statistical approaches based on judgment, risk, and materiality. The other options overstate requirements or preferences—for example, they imply statistical sampling must be used whenever part of a population is examined, or that it is required for substantive testing, or that one type of testing is inherently more suited to sampling than the other.

Statistical sampling in auditing can be used for both tests of controls and substantive testing. The main idea is to draw conclusions about a population by examining a representative sample and to quantify the risk that the sample leads to an incorrect conclusion. For testing controls, sampling helps determine whether a control operates effectively by evaluating a subset of control occurrences and estimating the overall control reliability. For substantive testing, sampling allows the auditor to infer whether account balances or transactions are fairly stated by testing a sample and projecting the findings to the population, with an explicit sampling risk.

This flexibility is why the statement is true: auditors routinely apply sampling methods in both types of testing, choosing statistical or non-statistical approaches based on judgment, risk, and materiality. The other options overstate requirements or preferences—for example, they imply statistical sampling must be used whenever part of a population is examined, or that it is required for substantive testing, or that one type of testing is inherently more suited to sampling than the other.

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