Difference between statistical sampling and non statistical sampling

Mondo Education Updated on 2024-01-29

The type of audit sampling.

Statistical sampling and non-statistical sampling.

Statistical sampling. It has two characteristics at the same time:

Random selection of sample items;

Probability theory is used to evaluate sample results and measure sampling risk.

Features: Objective measurement of sampling risk;The cost is higher.

Non-statistical sampling.

It does not have both characteristics at the same time.

Features: Sampling risk cannot be measured;

If properly designed, it can also provide results that are as valid as statistical sampling.

CPAs primarily consider cost-effectiveness when choosing between statistical sampling and non-statistical sampling methods and apply professional judgment.

Attribute sampling and variable sampling.

Attribute sampling. Definition: A statistical sampling method for drawing conclusions about the incidence of an event in a population.

Application: Control testing.

Purpose: To test the deviation rate of a set control, regardless of the size of the transaction.

Variable sampling. Definition: A statistical sampling method that draws conclusions about the amount of the population.

Application: Detail testing.

Purpose: To determine if the amount recorded is correct.

Sampling method. Simple random sampling.

Each combination of the same number of sampling units has an equal probability of being selected;

You can use a computer or a table of random numbers.

Applicability: Statistical sampling, non-statistical sampling.

Systematic sampling. Determine the sampling interval: sampling interval = population size of the population.

Determine the random starting point, and select the samples in order according to the sampling interval

Each sampling unit in the population has an equal chance of being selected;

The population must be randomly arranged.

Applicability: Statistical sampling, non-statistical sampling.

Feel free to select your samples. CPAs avoid any conscious bias or predictability and ensure that all projects in the population have a chance of being selected;

It is not possible to quantify the probability of picking a sample.

Applicability: Non-statistical sampling.

Cluster sampling. Pick a group (or clusters) of contiguous items from the population;

Usually not available in audit sampling.

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