AUD 4 Flashcards
Variables sampling
Is used to calculate a best estimate of a population value with confidence intervals around the estimate. Commonly used variables sampling methods are mean-per-unit, difference estimation, and ratio estimation.
PPS sampling
Utilizes dollar units for sampling
Stratification of the population
Enables the auditor to separate the population into size-related classes. For example, all transactions over $50,000 may be grouped into a class.
Increase in tolerable misstatement vs Increase in assessed level of control risk
Increasing tolerable misstatement decreases sample size, while increasing the assessed level of control risk increases sample size.
Projected misstatement
The amount of known misstatements identified in a sample that is projected to the population from which the sample was drawn.
Probability-proportional-to-size
The actual difference between the recorded amount and the audit value
(PPS) sampling
Enables the auditor to directly control for the risk of incorrect acceptance by requiring the auditor to specify the desired level of that risk.
Tainting percentage
[($5,000 − $1,000)/$5,000] = 80%
$6,000 × 80% = $4,800
Primary objective of probability proportional to sample size
PPS sampling is most effective in detecting overstatements, since the likelihood of an item’s selection increases with the recorded magnitude of the item.
The sample size for an attributes sampling application is determined by three factors
(1) risk of overreliance (related to confidence level)
(2) tolerable deviation rate (related to precision)
(3) expected population deviation rate (related to variability).