An application of audits in which less than 100% of the total items within the population are selected to be audited Show Audit sampling is an investigative tool in which less than 100% of the total items within the population of items are selected to be audited. It is an auditing technique that provides supporting evidence that allows auditors to issue audit opinions without having to audit every single item and transaction. Auditing ExplainedAuditing is the process by which a company’s financial records are verified and examined. It is to ensure that the transactions on the financial records are accurately and fairly represented. Since financial statements are prepared internally by companies and organizations, there is a high risk of manipulation and fraudulent behavior surrounding the preparation of the statements. Types of AuditingAuditing is important in ensuring that companies are representing their financial statements fairly and accurately. There are three types of auditing:
Auditing ImportanceFinancial statements are prepared per accounting standards and are meant to provide useful information for relevant decision-makers. However, the information provided needs to be accurate and fairly presented. Auditing is important to ensure that entities are not misrepresenting their financial statements so that relevant stakeholders do not make decisions based on faulty financial statements. It is important in establishing trust and efficiency within the financial system. Purpose of Audit SamplingNo matter what kind of audit is being performed – internal, external, or government – audit sampling needs to be used so that auditors can complete their audits without wasting resources in checking every single item. The objectives of audit sampling are as follows:
Audit Sampling ImportanceWhen auditing financial statements, it is not feasible to audit and check every single item within the financial statements. It will be very costly and will take a lot of resources and time to do so. Audit sampling enables auditors to make conclusions and express fair opinions based on predetermined objectives without having to check all of the items within financial statements. The auditors will only verify selected items, and through sampling, can infer their opinion on the entire population of items. There are two forms of sampling: 1. Statistical audit samplingStatistical 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. Consider a company with more than 100 inventory transactions on its records. Using statistical sampling is recommended due to the high number of transactions. For example, with statistical sampling, ten items are selected from the total population randomly. Every single item within the 100 has an equal probability of being selected and tested for accuracy as a result. Again, it benefits auditors since they can still make an audit opinion but do not have to check all 100 transactions. 2. Non-statistical audit samplingIn contrast to statistical audit sampling, non-statistical audit sampling items are not chosen randomly. Instead, they are chosen based on the auditor’s judgment, and the result of the testing from the selections is not used to infer the conclusion for the entire population. In the example earlier, ten inventory transactions can be used to infer the opinion on all 100 transactions. In non-statistical audit sampling, the auditors may choose to select items based on criteria such as:
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Paper F8, Audit and Assurance and Paper FAU, Foundations in Audit require students to gain an understanding of audit sampling. While you won’t be expected to pick a sample, you must have an understanding of how the various sampling methods work. This article will consider the various sampling methods in the context of Paper F8 and Paper FAU. This subject is dealt with in ISA 530, Audit Sampling. The definition of audit sampling is: ‘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.’ (1) In other words, the standard recognises that auditors will not ordinarily test all the information available to them because this would be impractical as well as uneconomical. Instead, the auditor will use sampling as an audit technique in order to form their conclusions. It is important at the outset to understand that some procedures that the auditor may adopt do not involve audit sampling, 100% testing of items within a population, for example. Auditors may deem 100% testing appropriate where there are a small number of high value items that make up a population, or when there is a significant risk of material misstatement and other audit procedures will not provide sufficient appropriate audit evidence. However, candidates must appreciate that 100% examination is highly unlikely in the case of tests of controls; such sampling is more common for tests of detail (ie substantive testing). The use of sampling is widely adopted in auditing because it offers the opportunity for the auditor to obtain the minimum amount of audit evidence, which is both sufficient and appropriate, in order to form valid conclusions on the population. Audit sampling is also widely known to reduce the risk of ‘over-auditing’ in certain areas, and enables a much more efficient review of the working papers at the review stage of the audit. In devising their samples, auditors must ensure that the sample selected is representative of the population. If the sample is not representative of the population, the auditor will be unable to form a conclusion on the entire population. For example, if the auditor tests only 20% of trade receivables for existence at the reporting date by confirming after-date cash, this is hardly representative of the population, whereas, say, 75% would be much more representative.
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