What are the types of sampling size characterized in audits?

The correct choice identifies the two primary types of sampling utilized in audits as statistical and non-statistical.

Statistical sampling involves the application of probabilistic methods to select a sample. This process allows auditors to quantify the level of uncertainty in their findings. By using statistical methods, auditors can apply mathematical formulas to determine sample sizes and then project the results of the audit sample to the entire population, providing a scientifically valid basis for drawing conclusions. This type of sampling enhances the reliability of audit results and can help assess the overall accuracy of financial statements or the effectiveness of control processes.

Non-statistical sampling, on the other hand, does not utilize probabilistic methods. Instead, it relies on the auditor's judgment to select a sample that is representative of the population. This approach may involve selecting items based on specific characteristics or prior knowledge about the population. Although it can be useful in certain contexts, non-statistical sampling does not provide the same level of statistical validity or confidence in the results compared to statistical sampling.

The other options do not accurately reflect the types of sampling typically characterized in audits. Combining concepts like qualitative or empirical sampling can lead to confusion, as these do not align with the standard classifications recognized in auditing practices. Statistical and non-statistical sampling distinctly summarize the