What is the major difference between statistical and Nonstatistical sampling in substantive testing?

STATISTICAL VS.



The difference between the two types of sampling is that the sampling risk of a statistical plan can be measured and controlled, while even a perfectly designed nonstatistical plan cannot provide for the measurement of sampling risk.

What is statistical sampling?

sampling, in statistics, a process or method of drawing a representative group of individuals or cases from a particular population.

What is a Nonstatistical sample?

Non-statistical sampling is the selection of a test group that is based on the examiner’s judgment, rather than a formal statistical method. For example, an examiner could use his own judgment to determine one or more of the following: The sample size. The items selected for the test group. How the results are

Which is more effective statistical sampling or non-statistical sampling?

A statistical method provides an objective measure of risk, optimizes the sample size, and is best for a population of a large number of homogeneous transactions. If the population members are dissimilar or there are key items, a non-statistical approach is most suitable.

What’s the difference between statistical and Nonstatistical?

Lesson Summary



A statistical question will ask a question where the answer can vary. Once data is collected and analyzed, the answer can provide an explanation of the information. A non-statistical question will have data, but the results will not vary.

What is statistical and Nonstatistical?

Statistical Statistical questions require collection of data and the answers have variability (there is more than 1 possible way to answer the question). Non-Statistical Non-Statistical questions have answers with no variability (there is only 1 answer).

What is a statistical sample example?

A sample statistic (or just statistic) is defined as any number computed from your sample data. Examples include the sample average, median, sample standard deviation, and percentiles. A statistic is a random variable because it is based on data obtained by random sampling, which is a random experiment.

Why is statistical sampling important?

Statistical sampling can be a valuable tool to collect and evaluate information about a large population, or universe, when it would otherwise be impractical (or impossible) to collect that information from the entire population.

What are the characteristics of statistical sampling?

Statistical vs Nonstatistical Sampling

What are the main difference between the two types of sample methods?

There are two types of sampling methods: Probability sampling involves random selection, allowing you to make strong statistical inferences about the whole group. Non-probability sampling involves non-random selection based on convenience or other criteria, allowing you to easily collect data.

What is the purpose of using Nonstatistical sampling for tests of controls and substantive tests of transactions?

The purpose of using nonstatistical sampling for tests of controls and substantive tests of transactions is to estimate the proportion of items in a population containing a characteristic or attribute of interest.

What are the three main parts of statistical and Nonstatistical methods?

These three parts are:

• The sample size of the population.
• The selected items for sampling.
• The method of evaluation of the results.

What are the advantages and disadvantages of statistical and Nonstatistical audit sampling?

The main advantages of audit sampling using non-statistical method are a statistically derived sample and a statistical evaluation of sampling risk. One of the disadvantages of non-statistical method includes the use of formal techniques to determine sample size, select the sample and to evaluate results.

What are the advantages of statistical sampling?

One benefit of sampling is the relatively low cost of gathering information. In addition, when sampling is done correctly, conclusions drawn from the sample have a scientifically-supported basis, and many courts recognize the validity of those results.

Why is statistical sampling important?

Statistical sampling can be a valuable tool to collect and evaluate information about a large population, or universe, when it would otherwise be impractical (or impossible) to collect that information from the entire population.