Which rule in auditing sampling states that the sample must be randomly selected?

In auditing sampling, having the sample randomly selected is essential because it helps ensure that the sample is representative of the population. A random selection minimizes bias and allows auditors to generalize their findings from the sample to the entire population with reasonable confidence. This concept is rooted in statistical principles, which indicate that random sampling is crucial for deriving valid conclusions and for mitigating the risk of sampling error.

When a sample is randomly selected, each item in the population has an equal chance of being included. This methodology helps auditors obtain a fair cross-section of data, which enhances the reliability of their findings. Without random selection, the results could be skewed by non-representative selections, leading to potentially erroneous conclusions about the population, invalidating the sampling results.

Establishing this rule in auditing ensures that the sampling methods align with best practices and statistical theory, allowing more credible and defensible audit conclusions. Thus, the emphasis on random selection underlines the importance of removing bias to maintain the integrity and reliability of the audit process.