What are the sampling audit methods?

In the audit work, the commonly used sampling audit methods mainly include random sampling, judgment sampling and statistical sampling, as follows:

What are the sampling audit methods?

1. Random sampling method

At first, the sampling methods used by auditors were mostly random sampling, the purpose of which was purely to reduce the audit workload. However, due to the irregular sampling scale, sampling method and sampling conclusion, unscientific and reliable review results and poor audit effect, this method was quickly replaced by the judgment sampling method.

2. Judgment sampling method

Judgment sampling method is a method for auditors to select samples from a specific audit target group for review by relying on their experience, and infer the overall situation from the results of sample review. The key to adopting judgmental sampling is to make a correct judgment on the audited object as a whole. If the judgment is correct, the audit result may be correct. If the judgment is wrong, it will affect the audit conclusion. Therefore, modern auditing gradually begins to adopt random sampling method.

3. Random sampling method

Random sampling method is a method that auditors select some sample units from the audit object population for review according to the principle of randomness, and infer the overall situation according to the review results. Compared with the first two methods, its advantages are that it can calculate the sample size, predict and control the sampling error, and infer the number and attributes of the population with a certain probability.

Interpretation of sampling audit method

Sampling audit method refers to a method of extracting some items from the population as samples for inspection, and then inferring the overall characteristics of the audited object according to the inspection results.

Characteristics of audit sampling

Audit sampling has the following three characteristics:

1. Implement audit procedures for projects whose audit relevance is lower than the total number 100%;

2. All sampling units have the opportunity to be selected;

3. To some extent, the overall conclusion can be inferred from the test results of the sample project.