Which two sampling methodologies are commonly used in auditing?

Prepare for the NHCAA Accredited Health Care Fraud Investigator Exam. Study with flashcards and multiple choice questions, each question has hints and explanations. Boost your readiness for the exam!

The correct choice highlights the distinction between statistical and non-statistical sampling methodologies, which are integral to auditing processes.

Statistical sampling allows auditors to draw conclusions about a population based on a sample, applying mathematical principles to ensure that their results are reliable, and providing a measurable level of assurance about the findings. This method is crucial for audits because it allows for objective analysis and error estimation, which enhances the credibility and effectiveness of the audit.

In contrast, non-statistical sampling involves selecting items for testing based on judgment rather than mathematical techniques. While it can be useful, it does not provide the same level of assurance as statistical sampling and can be more subjective.

Understanding these methodologies and their applications is key for auditors to conduct effective audits, ensuring compliance and identifying potential fraudulent activities. The recognition of both sampling techniques is essential in delivering comprehensive audit results.

Other choices do not encapsulate the specific practices used in auditing contexts. For instance, random and systematic sampling are specific methods that could fit within the broader category of statistical sampling, while qualitative and quantitative refer to types of data rather than sampling strategies. The options of everyday and advanced do not provide any meaningful context related to auditing methodologies.

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