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Monetary Unit Sampling (MUS)

Definition

A probability-proportional-to-size method that treats each currency unit in the population as a sampling unit. Larger transactions have a higher probability of selection. Results are expressed as an upper error limit in currency, making them easier to evaluate against a materiality threshold.

Also called
Probability-proportional-to-size (PPS) sampling
Sampling unit
Each individual currency unit
Selection bias
Larger transactions more likely selected
Output
Upper error limit in currency terms

Common questions

Why is MUS particularly suited to detecting overstatement in fraud audits?+

Because selection probability scales with transaction size, MUS naturally concentrates audit attention on the largest-value items, which is exactly where a material overstatement is most likely to reside and most costly if missed.

What is a limitation of monetary unit sampling in fraud investigations?+

MUS is weak at detecting understatement errors or omitted transactions, since a transaction that was never recorded, or was recorded at a value near zero, has little or no chance of being selected by a size-weighted method.

Related terms

Attribute Sampling
A statistical sampling method that tests whether each selected item either has or lacks a specified attribute, for example whether a change...
Confidence Level
An explicit label attached to an attribution assessment indicating how strongly the available evidence supports the conclusion. Standard tiers are low, medium,...
Risk-Directed Selection
A judgmental sampling approach in which items are chosen because they exhibit specific risk indicators: unusual amounts, unusual payees, bypass of normal...
Stratified Sampling
A sampling design that divides the population into homogeneous subgroups (strata) and samples each stratum separately. Allows the auditor to apply higher...
Tolerable Deviation Rate (TDR)
The maximum rate of control deviations the auditor is willing to accept before concluding that a control cannot be relied upon. Setting...

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