Either nonstatistical or statistical sampling is appropriate for substantive tests of details

(Ref: Para. A11)

The following are factors that the auditor may consider when determining the sample size for tests of details.  These factors, which need to be considered together, assume the auditor does not modify the approach to tests of controls or otherwise modify the nature or timing of substantive procedures in response to the assessed risks.

FACTOR

EFFECT ON SAMPLE SIZE

1.       An increase in the auditor’s assessment of the risk of material misstatement

Increase

The higher the auditor’s assessment of the risk of material misstatement, the larger the sample size needs to be.  The auditor’s assessment of the risk of material misstatement is affected by inherent risk and control risk.  For example, if the auditor does not perform tests of controls, the auditor’s risk assessment cannot be reduced for the effective operation of internal controls with respect to the particular assertion.  Therefore, in order to reduce audit risk to an acceptably low level, the auditor needs a low detection risk and will rely more on substantive procedures.  The more audit evidence that is obtained from tests of details (that is, the lower the detection risk), the larger the sample size will need to be.

2.       An increase in the use of other substantive procedures directed at the same assertion

Decrease

The more the auditor is relying on other substantive procedures (tests of details or substantive analytical procedures) to reduce to an acceptable level the detection risk regarding a particular population, the less assurance the auditor will require from sampling and, therefore, the smaller the sample size can be.

3.       An increase in the auditor’s desired level of assurance that tolerable misstatement is not exceeded by actual misstatement in the population

Increase

The greater the level of assurance that the auditor requires that the results of the sample are in fact indicative of the actual amount of misstatement in the population, the larger the sample size needs to be.

4.       An increase in tolerable misstatement

Decrease

The lower the tolerable misstatement, the larger the sample size needs to be.

5.       An increase in the amount of misstatement the auditor expects to find in the population

Increase

The greater the amount of misstatement the auditor expects to find in the population, the larger the sample size needs to be in order to make a reasonable estimate of the actual amount of misstatement in the population.  Factors relevant to the auditor’s consideration of the expected misstatement amount include the extent to which item values are determined subjectively, the results of risk assessment procedures, the results of tests of control, the results of audit procedures applied in prior periods, and the results of other substantive procedures.

6.       Stratification of the population when appropriate

Decrease

When there is a wide range (variability) in the monetary size of items in the population, it may be useful to stratify the population.  When a population can be appropriately stratified, the aggregate of the sample sizes from the strata generally will be less than the sample size that would have been required to attain a given level of sampling risk, had one sample been drawn from the whole population.

7.       The number of sampling units in the population

Negligible effect

For large populations, the actual size of the population has little, if any, effect on sample size.  Thus, for small populations, audit sampling is often not as efficient as alternative means of obtaining sufficient appropriate audit evidence.  (However, when using monetary unit sampling, an increase in the monetary value of the population increases sample size, unless this is offset by a proportional increase in materiality for the financial report as a whole [and, if applicable, materiality level or levels for particular classes of transactions, account balances or disclosures]).

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

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 and Nonstatistical sampling?

Statistical sampling allows each sampling unit to stand an equal chance of selection. The use of non-statistical sampling in audit sampling essentially removes this probability theory and is wholly dependent on the auditor's judgment.

Is sampling substantive testing?

Types of Substantive Tests The following list is a sampling of the available tests: Issue a bank confirmation to test ending cash balances. Contact customers to confirm that accounts receivable balances are correct. Observe the period-end physical inventory count.

What are the advantages of Nonstatistical sampling over statistical 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.