Section 5: Audit Sampling Flashcards
1
Q
Audit Risk Formula
A
AR = RMM (IR x CR) x DR
2
Q
Nonsampling Risk
Component of DR
A
- Human error
- Misinterpreting audit test results
- Not recognizing mistatements in documents audited
3
Q
Sampling Risk
A
- Bad Sample
- Sample is not representative of population
- Risk of drawing wrong conclusion
4
Q
Type 1 Sampling Risk
A
- Efficiency Error (Alpha Risk)
- Population is okay but based on the sample, dont rely
- Underrely on IC - Access RMM high
- Incorrectly reject an account balance for substantive testing purposes
- Population is okay but based on the sample, dont rely
5
Q
Type 2 Sampling Risk
A
- Less Effective (Beta Risk)
- Population is bad but based on the sample, the auditor believes everything is correct
- Overrely on IC - assess RMM low
- Incorrectly accept an account balance for substantive testing purposes,
- Population is bad but based on the sample, the auditor believes everything is correct
6
Q
Attribute Sampling
A
- Applied to test of controls
- Assessing RMM too low makes the audit ineffective
- Assessing RMM too high = inefficient audit
7
Q
Variable Estimation Sampling
A
- Applied to test of details
- Incorrect acceptance = ineffective audit
- Incorrect rejection = inefficient audit
8
Q
Statistical Sampling
A
- the use of quantitative measures of the risks the auidtor is taking in the use of sampling
- Auditor will have to use judgment to determine what level of risk is acceptable
9
Q
Non-Statistical Sampling
A
- Auditor chooses sample size by what makes them comfortable that their conclusions are correct
10
Q
Attribute Sampling
Determine appropriate sample size
TEA
A
- Tolerable deviation rate - refers to the percentage of time a control can be violated but still lead the auditor to believe it is operating effectively
- Inverse relationship w/ sample size
- Excepted deviation rate - Percentage of time the auditor expect the control to have been violated
- Direct relationship w/ sample size
- Allowable risk of accessing RMM too low
- Inverse effect on sample size
11
Q
Random-Number Sampling
A
- Numbered documents are selected through the use of random number tables or computer software
12
Q
Systemic Sampling
A
Every”nth” item is selected
13
Q
Haphazard Sampling
A
sample consisting of units selected w/o any conscious bias - assuming the random distribution of the population
14
Q
Block Sampling
A
A sample consisting of contiguous units - ex: a selection of 3 blocks of ten vouchers each
Least desirable method
15
Q
A