Audit sampling terminology

In a number of instances, Analytics sampling terminology differs from the terms commonly used in the audit and assurance profession. The sections below outline the Analytics terms and the equivalent industry terms.

For simple definitions of some common audit sampling terms, see A word about terminology.

Names of the types of sampling in Analytics

Analytics has three types of sampling:

  • record sampling
  • monetary unit sampling
  • classical variables sampling

The table below lists other terms in use for these types of sampling.

Analytics term Industry term
Monetary unit sampling monetary unit sampling

dollar-unit sampling

probability-proportional-to-size sampling

cumulative monetary amount sampling

Record sampling attribute sampling

attributes sampling

Classical variables sampling classical variables sampling

Monetary unit sampling terminology

The table below lists the monetary unit sampling terminology used in Analytics and provides the equivalent industry term or terms.

Size dialog box Analytics term Industry term
Confidence confidence

confidence level

reliability

Population population

population size

Materiality tolerable misstatement
Expected Total Errors expected misstatement

estimated misstatement

expected population misstatement

Sample Size sample size
Interval sampling interval
Maximum Tolerable Taintings (%)

(an Analytics-specific term)

 
Evaluate dialog box
Errors misstatements
Evaluate results
Basic Precision basic precision

basic allowance for sampling risk

Most Likely Error projected misstatement
Upper Error Limit upper misstatement limit

Record sampling terminology

The table below lists the record sampling terminology used in Analytics and provides the equivalent industry term or terms.

Size dialog box Analytics term Industry term
Confidence confidence

confidence level

reliability

Population population

population size

Upper Error Limit (%) tolerable deviation rate
Expected Error Rate (%) expected population deviation rate

estimated population deviation rate

Sample Size sample size
Interval sampling interval
Number of Tolerable Errors

(an Analytics-specific term)

 
Evaluate dialog box
Number of Errors number of deviations
Evaluate result    
Upper error limit frequency computed upper deviation rate