Monetary unit sampling calculator.

How many items do I need to look at, and which ones?

Sample size and sampling interval for a substantive test of details, with the reliability and expansion factors shown. Then project the misstatements you find to an upper limit.

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Plan the sample
Confidence level (1 − risk of incorrect acceptance)
Sample size
128
95% confidence
Sampling interval
$19,667
Select every nth dollar
Reliability factor
3.00
Expansion factor 1.60
How this was worked out

Method: AICPA formula approach with Poisson factors. The reliability factor is the Poisson upper limit for zero misstatements at the chosen confidence (−ln of the risk, rounded up to two decimals as the tables print it: 3.00 at 95%). Expected misstatement is grossed up by the expansion factor from the AICPA Audit Sampling Guide, Appendix C, before it is taken off tolerable misstatement.

Work shownrecomputed as you type
Adjusted tolerable = $75,000 − ($10,000 × 1.60) = $59,000
Sample size = $2,500,000 × 3.00 ÷ $59,000 = 128
Sampling interval = $59,000 ÷ 3.00 = $19,667
Expansion factors (AICPA Table C-4)
Risk of incorrect acceptanceFactor
1%1.90
5%1.60
10%1.50
15%1.40
20%1.30
25%1.25
30%1.20
Poisson reliability factors at 95%
MisstatementsFactorIncrement
03.00—
14.751.75
26.301.55
37.761.46
49.161.40
510.521.36
Evaluate misstatements found

Enter each sampled item where the audited amount is lower than the book amount (overstatements). Items with a book value at or above the interval are treated as a top stratum: their actual misstatement is added with no sampling allowance.

Book valueAudited valueTainting
10%
ComponentTaintingProjectedFactorUpper limit
Basic precision100%—3.00$59,000
Misstatement 110%$1,9671.75$3,442
Upper misstatement limit$1,967$62,442
Work shownrecomputed as you type
Upper limit = basic precision $59,000 + projected $1,967 + incremental allowance $1,475 = $62,442
OK
Upper limit $62,442 ≤ tolerable $75,000
At 95% confidence the population is not misstated by more than tolerable misstatement. Post the projected misstatement of $1,967 to the summary of uncorrected misstatements.

Overstatements only, ranked by tainting, each weighted by the incremental Poisson factor (the Stringer-style bound in the AICPA guide). Rows where the audited value is not below the book value, and rows with no book value, are ignored here; understatements need separate evaluation.

The MUS formula and the factors behind it

AU-C 530 leaves the sampling method to the auditor. The AICPA Audit Guide Audit Sampling sets out the formula approach used here: n = BV × RF ÷ (TM − EM × EF), where BV is the population book value, RF the reliability factor, TM tolerable misstatement, EM expected misstatement and EF the expansion factor. The sampling interval is (TM − EM × EF) ÷ RF.

The reliability factor is the Poisson upper limit for zero misstatements at the chosen confidence: 3.00 at 95%. Expansion factors come from Appendix C of the guide: 1.90 at 1% risk of incorrect acceptance, 1.60 at 5%, 1.50 at 10%, 1.40 at 15%, 1.30 at 20%, 1.25 at 25%, 1.20 at 30%, 1.15 at 37% and 1.10 at 50%.

Evaluating misstatements

Each overstatement found is expressed as a tainting (misstatement ÷ book value) and projected over the interval. The upper misstatement limit adds basic precision (RF × interval), the projected misstatement and an incremental allowance that weights each tainting, largest first, by the step in the Poisson factor. If the upper limit is within tolerable misstatement, the sample supports the recorded balance. Carry the projected amount to the summary of uncorrected misstatements (AU-C 450).

Common questions

What is monetary unit sampling?

Monetary unit sampling (MUS), also called probability-proportional-to-size (PPS) sampling, treats each dollar in a population as a sampling unit. Larger items are more likely to be selected, which suits tests for overstatement of balances such as receivables or inventory.

How is the MUS sample size calculated?

Sample size = population book value × reliability factor ÷ (tolerable misstatement − expected misstatement × expansion factor). With no expected misstatement at 95% confidence the reliability factor is 3.00, so a $1,000,000 population with $50,000 tolerable misstatement needs 60 items.

What is the reliability factor for 95% confidence?

For zero expected misstatements it is 3.00 (the Poisson factor, −ln 0.05 = 2.996, rounded up). It is 2.31 at 90% and 4.61 at 99%. The factors rise with each misstatement found: 4.75 for one and 6.30 for two at 95%.

How do I select items using the sampling interval?

Pick a random start between $1 and the interval, then select the item containing every interval-th dollar through the cumulative balance. Any item larger than the interval is selected with certainty and evaluated as a top stratum.

When is MUS a poor choice?

When understatement is the main risk (zero or small balances have little chance of selection), when many misstatements are expected (the bound becomes conservative and samples balloon), or when the population has many negative or zero balances that need separate treatment.

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