sampling Flashcards
Sampling Risk
The risk of drawing the wrong conclusion based on a sample that is not representative of the population.
Nonsampling Risk (misstatement)
The risk that human error will lead to drawing the wrong conclusion.
Type I Sampling Error (Alpha)
Population is okay but based on the sample, don’t rely.
Under-rely on internal control = assess RMM ↑
Incorrectly reject an account balance for substantive testing purposes
Less efficient audit.
Type I Sampling Error (Alpha)
Population is okay but based on the sample, don’t rely.
Under-rely on internal control = assess RMM ↑
Incorrectly reject an account balance for substantive testing purposes
Less efficient audit.
Type II Sampling Error (Beta)
Population is bad but based on the sample, the auditor believes everything is correct.
Over-rely on internal control = assess RMM ↓
Incorrectly accept an account balance for substantive testing purposes
Less effective audit.
Statistical Sampling
A method of sampling under which formulae are applied to determine sample size and to interpret sample results by measuring risk, requiring the auditor’s judgment in determining the level of risk that is acceptable.
Statistical Sampling
A method of sampling under which formulae are applied to determine sample size and to interpret sample results by measuring risk, requiring the auditor’s judgment in determining the level of risk that is acceptable.
Nonstatistical Sampling
Also referred to as “judgmental sampling,” a method of sampling under which the auditor applies judgment to determine sample size and to interpret sample results.
Random-Number Sampling
Selecting items for examination at random using random number tables or software such that any item within a population has an equal chance of being included in a sample.
Systematic Sampling
Selecting items for a sample by dividing the number of items in the population by the sample size and, using a random starting point, each subsequent “nth” item is selected.
Haphazard Sampling
A sample consisting of units selected without any conscious bias, assuming a random distribution of the population.
Haphazard Sampling
A sample consisting of units selected without any conscious bias, assuming a random distribution of the population.
Block Sampling (or Cluster Sampling)
A sample consisting of contiguous units; e.g., a selection of three blocks of ten vouchers each. Note: While this method eases sample selection, its major disadvantage is that the samples selected may not be representative, and thus is regarded as the least desirable method of sampling.
Stratified Sampling
Dividing a population into smaller segments and sampling each as if it was a distinct population, increasing the efficiency of a sample.
Attribute Sampling
A method of sampling, often applied to tests of controls, in which the frequency with which a characteristic appears in a population, such as an exception where the auditor is trying to determine how many invoices are not properly authorized.