Nonsampling risk refers to the risk that the auditor reaches an incorrect conclusion due to errors not related to the sample itself but to other factors such as misinterpretation of data, incorrect application of procedures, or human error.

IIA Practice Advisory 2320-3:

This advisory explains that nonsampling risk occurs when an auditor misinterprets results or applies the wrong audit procedure. It differs from sampling risk, which is the risk that a sample is not representative of the population.

Misinterpretation of Sampling Results:

In this case, the senior IT auditor misinterprets the sampling results during the audit of inventory valuation. This is a classic example of nonsampling risk, where the error is due to the auditor’s misunderstanding or misapplication of the data, rather than an issue with the sampling process itself.

IIA Standard 2320 – Analysis and Evaluation:

This standard requires that auditors apply sufficient care and skill in analyzing and interpreting audit evidence. Nonsampling risk can occur if this standard is not met, resulting in incorrect conclusions.

Option A (Sampling risk): This refers to the risk that the sample does not accurately represent the population, which is not the issue here.

Option B (Control risk): This refers to the risk that a control will fail to prevent or detect errors or fraud, unrelated to this situation.

Option D (Residual risk): This refers to the risk that remains after controls are implemented, also unrelated to this scenario.

Detailed Explanation:Why Not Other Options?Conclusion: Option C is correct as it accurately describes the situation where the auditor misinterprets the sampling results, which is a form of nonsampling risk, according to IIA guidance.