For tests of controls, the most commonly used statistical method is attributes sampling

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What is Attribute Sampling?

Attribute sampling refers to a statistical sampling tool used by the auditors to analyze the features of a particular population and determine whether the internal controls placed by the management are working effectively or not. In this sampling, a particular activity is chosen as a sample and internal controls for the same are tested.

Explanation

An audit is a time-consuming process, and it is not possible for the auditors to conduct a test for 100% transactions. It is due to this reason that sampling tools are used by the auditorsAn auditor is a professional appointed by an enterprise for an independent analysis of their accounting records and financial statements. An auditor issues a report about the accuracy and reliability of financial statements based on the country's local operating laws.read more. One such sampling process is attribute sampling in which the audit chooses a particular control area and applies sampling to check the attributes of the control area so as to ensure whether controls placed are working efficiently or not. Once a process is chosen, the same is checked for the accuracy of internal controlsInternal control in accounting refers to the process by which a company implements various rules, policies, or procedures to ensure the accuracy of accounting and finance information, safeguard the various assets of the business, promote accountability in the business, and prevent the occurrence of frauds in the company.read more.

For tests of controls, the most commonly used statistical method is attributes sampling

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How Does it Work?

In attribute sampling, an item is taken as a testing base, and the aim to verify whether the same possess certain features or not. For verifying the same, the auditor carries out a test on a particular number of records and determine how many times a given feature shows up in the population. The auditor thus determines out of the selected population how many records contain an error. This gives the percentage of population error. The auditors also have determined in advance, the tolerance limit within with errors is to be ignored. Based on the tolerance limit, the auditor decides whether the item selected has proper internal controls or not.

As stated above, the purpose is to test the effectiveness of internal controls in a business.

If you want to learn more about Auditing, you may also consider taking courses offered by Coursera

  1. Auditing I: Conceptual Foundations of Auditing
  2. Auditing II: The Practice of Auditing

Examples of Attribute Sampling

Suppose, as per the internal controls laid by the management of the company, the expense invoices exceeding $100 are to be supported by purchase orderA Purchase Order (PO) serves as a legal document between buyer and seller, wherein, the buyer sends this contract that details the goods and services, date of delivery, payment terms as per the contract etc.read more. The auditor here will check whether the invoices are backed by purchase order or not i.e., purchase order is the attribute which is tested by the order. The auditor selects 100 invoices as the sample.

Now, after verifying, the auditor finds that four invoices aren’t supported by purchase order. In this case, population error comes out to be 4%. There are some other details that you need to consider:

  • Tolerable error rate: 7%
  • Sampling risk: 2%
  • Expected Deviation Rate: 5%

Now, Rate of upper deviation = Population error + Sampling risk = 4% + 2% = 6%

Here, sampling risk is the risk that the sample might not reflect the characteristics of the total population. The risk, in this case, if of 2%. This also means that the confidence level is 98% since the auditor believes that out of 100 records, two records will not reflect the attributes of the population.

Rate of upper deviation < Tolerable error rate.

Here, the auditor will be satisfied since the rate of upper deviation falls within the tolerable error rate of 7%.

Attribute Sampling Table

Particulars   Values
Confidence Level   98%
  In the above example, the auditor believes that the sampling risk is 2%. Thus, the confidence level is 98% (100%-2%).
Expected Deviation Rate   5%
  This rate represents the auditor’s estimate of the actual error in the population.
Tolerable Error Rate   7%
  This represents the maximum limit within which the non-compliance in the internal control can be accepted.
Rate of Upper Deviation   6%
  This is calculated as the sum of actual population error and sampling risk. It represents the actual rate of deviation from the internal controls. The auditor compares this against the tolerable error rate and makes audit conclusions.

Attribute Sampling Plan

An attribute sampling plan refers to the plan that the auditor develops for testing the effectiveness of internal controls in an organization. The results of the exercise help an auditor to decide whether the controls are functioning properly or not i.e., whether there is compliance or non-compliance.

The auditor defines the audit objectiveThe primary objective of an audit is to obtain reasonable assurance regarding the financial statements being free from any misstatement either by error or fraud. Another objective is to report the findings of the independent examination so performed.read more, population, sample, and control item that is being checked.

Uses

The auditors use attribute sampling for testing the internal controls in an organization. Based on this, the auditor is able to conclude the compliance or non-compliance of internal controls. It is important the internal controls laid down by the management are working effectively, and the same forms an important part of the audit process.

Advantages

  • It helps an auditor to test the presence and working of internal controls.
  • The deficiencies found in the internal controls are communicated to the management, which can take steps for the improvement in the controls.

Disadvantages

  • The process of attribute sampling also incurs the limitation of sampling that the sample may not be representing the entire population. If the estimate of the sampling risk is not correct, it may affect the results.
  • It doesn’t give any quantitative conclusion.

This has been a guide to what is Attribute Sampling in Audit. Here we discuss how does it work along with examples, advantages, and disadvantages. You may learn more about financing from the following articles –

  • Audit Test
  • Interim Audit
  • Purpose of An Audit
  • Forensic Audit

Which sampling technique is most appropriate when testing controls?

Attribute sampling is a statistical process used in audit procedures that aims to analyze the characteristics of a given population. This practice is often used to test whether or not a company's internal controls are being correctly followed.

What is attribute sampling method?

Attribute sampling is defined as the method of measuring quality that consists of noting the presence (or absence) of some characteristic (attribute) in each of the units under consideration and counting how many units do (or do not) possess it.

What is an example of attribute sampling?

Attribute sampling is binary and rigid – either an attribute is present in your test or it isn't. For example, there should never be any traces of melamine or poison found in sample tests from cat food. A test revealing even a small amount would represent a severe quality problem requiring immediate action.

What is statistical sampling in auditing?

Statistical audit sampling involves a sampling approach where the auditor utilizes statistical methods such as random sampling to select items to be verified. Random sampling is used when there are many items or transactions on record.