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In: Accounting

CHAPTER 11 - BASIC AUDIT SAMPLING CONCEPTS Enumerate the different means of selecting items for testing.

CHAPTER 11 - BASIC AUDIT SAMPLING CONCEPTS

Enumerate the different means of selecting items for testing.

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Expert Solution

Audit Sampling means the application of audit procedures to less than 100% of items within a population of audit relevance such that all sampling units have a chance of selection in order to provide the auditor with a reasonable basis on which to draw conclusions about the entire population.

The objective of the auditor when using audit sampling is to provide a reasonable basis for the auditor to draw conclusions about the population from which the sample is selected.

There are many method of selecting samples. Principles methods are as follow-

(1) Random Selection :-This method is applied through random number generators, for example, random number tables. Stratified Sampling is one of the methods of Random Sampling. This method involves dividing the whole population to be tested in a few groups called strata and taking a sample from each of them. Each stratum is treated as if it were a separate population and if proportionate items are selected from each of the stratum. The groups into which the whole population is divided is determined by the auditor on the basis of his judgement e.g. entire expense vouchers may be divided into:

(a) Vouchers above 1,00,000

(b) Vouchers between 25,000 to 1,00,000

(c) Vouchers below 25,000

The auditor can then decide to check all vouchers above 1,00,000, 50% between 25,000 and 1,00,000 and 25% of those below 25,000.

The reasoning behind the stratified sampling is that for a highly diversified population, weights should be allocated to reflect these differences. This is achieved by selecting different proportions from each strata. It can be seen that the stratified sampling is simply an extension of simple random sampling.

(2) Systemetic Selection:- In this method, the number of sampling units in the population is divided by the sample size to give a sampling interval, for example 50, and having determined a starting point within the first 50, each 50th sampling unit thereafter is selected. Although the starting point may be determined haphazardly, the sample is more likely to   be truly random if it is determined by use of a computerised random number generator or random number tables. When using systematic selection, the auditor would need to determine that sampling units within the population are not structured in such a way that the sampling interval corresponds with a particular pattern in the population.

(3) Monetary Unit Sampling:- This method is a type of value-weighted selection in which sample size, selection and evaluation results in a conclusion in monetary amounts.

(4) Haphazard Selection:- In this method, the auditor selects the sample without following a structured technique. Although no structured technique is used, the auditor would nonetheless avoid any conscious bias or predictability (for example, avoiding difficult to locate items, or always choosing or avoiding the first or last entries on a page) and thus attempt to ensure that all items in the population have a chance of selection. Haphazard selection is not appropriate when using statistical sampling.

(5) Block Selection:- This method involves selection of a block(s) of contiguous items from within the population. Block selection cannot ordinarily be used in audit sampling because most populations are structured such that items in a sequence can be expected to have similar characteristics to each other, but different characteristics from items elsewhere in the population. Although in some circumstances it may be an appropriate audit procedure to examine a block of items, it would rarely be an appropriate sample selection technique when the auditor intends to draw valid inferences about the entire population based on the sample.


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