Audit Sampling Flashcards
(43 cards)
The risk of incorrect acceptance and the likelihood of assessing control risk too low relate to the?
- Effectiveness of the audit.
- Efficiency of the audit.
- Preliminary estimates of materiality levels.
- Allowable risk of tolerable error.
Effectiveness of the audit.
The risk of incorrect acceptance and the likelihood of assessing control risk too low both relate to the effectiveness of the audit. The risk of incorrect acceptance is the risk that the auditor will accept a balance as fairly stated when it really isn’t. The risk of assessing control risk too low is the risk that the auditor will conclude that the controls are effective when they are not effective.
In either case, the auditor has made an erroneous judgment that could result in the failure to detect a material misstatement and the issuance of an incorrect opinion.
An auditor may decide to increase the risk of incorrect rejection (i.e. wants to do more work than necessary) when?
- Increased reliability from the sample is desired.
- Many differences (audit value minus recorded value) are expected.
- Initial sample results do not support the planned level of control risk.
- The cost and effort of selecting additional sample items are low.
The cost and effort of selecting additional sample items are low.
The risk of incorrect rejection relates to the efficiency of the audit. If the auditor incorrectly believes that a material misstatement exists, the auditor will perform extra auditing procedures to try to find the material misstatement. After performing the extra work, the auditor will then reach the correct conclusion that the balance is fairly stated.
When the auditor decides to increase the risk of incorrect rejection, the auditor is increasing the risk of audit inefficiency, i.e., of doing too much work. This decision might seem appropriate if the cost and effort of selecting additional sample items are low.
In attribute sampling, a 25% change in which of the following factors will have the smallest effect on the size of the sample?
- Tolerable rate of deviation.
- Number of items in the population.
- Degree of assurance desired.
- Planned assessed level of control risk.
Number of items in the population
Population size is not considered in determining the sample size for an attributes sampling application. The tables that are used to determine the sample size for attributes sampling are based upon an assumption that the population is very, very large. Hence, an increase in the population size would have a negligible effect.
As the population size increases, the sample size should increase proportionately, but only for very small populations. There is virtually no effect on sample size for larger populations.
PPS Sampling Approach when account balance selected is:
- Greater than the sampling interval
- Less than the sampling interval
Remember that 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.
In a probability-proportional-to-size application, the projected error of the sample is the amount of the difference between the book value and the audit value when the amount of the account examined is greater than the sampling interval.
When the recorded balance of the account involved is less than the sampling interval, the auditor must determine the “tainting” percentage and apply that percentage to the sampling interval.
Examples
- In a probability-proportional-to-size sample with a sampling interval of $5,000, an auditor discovered that a selected account receivable with a recorded amount of $10,000 had an audit amount of $8,000. What is projected error?
- $2,000. As the selected account receivable was $10,000 and the sampling interval was $5,000, the projected error was $2,000 (the actual difference between the recorded amount and the audit value).
- In a PPS sampling application, the sampling interval was $6,000. The auditor discovered that a selected account receivable having a recorded amount of $5,000 had an audit amount of $1,000. What was the projected error associated with this sample?
- $4,800 In this case the tainting percentage = [($5,000 − $1,000)/$5,000] = 80%. Accordingly, the projected misstatement is $6,000 × 80% = $4,800.
Define Attribute Sampling and its intended use
Attribute Sampling is a statistical approach used with Tests of Controls (i.e. Internal Control).
It requires the use of a probabilistic sample selection method (random or systematic sampling). Attribute sampling allows the auditor to estimate the proportion of population items containing a specified characteristic. The characteristic auditors are concerned with for tests of controls is deviations from internal controls.
Sampling Risk vs. Non-Sampling Risk
- Sampling risk results from performing an audit procedure on less than one hundred percent of the population. It represents the risk that the audit sample is not representative of the population. In other words, that the auditor’s evaluation of a population based on an audit sample is different from what it would be if the entire population was tested.
- Nonsampling risk results from human error. It represents the risk that the selected audit procedure is not appropriate for the intended purpose or the evidence from an audit procedure is misinterpreted. Nonsampling risk exists regardless of the number of items selected from a population for testing.
Sampling Risk
- Test of Controls
- Substantive Testing
There are two aspects to sampling risk when performing tests of controls:
- The risk of assessing control risk too low represents the risk that an audit sample supports the conclusion that the design and operation of an internal control is effective when in fact it is not.
- The risk of assessing control risk too high represents the risk that an audit sample supports the conclusion that the design and operation of an internal control is not effective when in fact it is effective.
Sampling Risk
- Test of Controls
- Substantive Testing
Similarly there are two aspects to sampling risk when performing substantive tests:
- The risk of incorrect acceptance represents the risk that an audit sample supports the conclusion that a material misstatement does not exist when in fact a material misstatement does exist. This risk is similar to the risk of assessing control risk too low.
- The risk of incorrect rejection represents the risk that an audit sample supports the conclusion that a material misstatement exists when in fact a material misstatement does not exist. This risk is similar to the risk of assessing control risk too high.
Sample size for attribute sampling can be determined by reference to attribute sampling tables. These sample determination tables require the auditor to establish three factors:
- also what is relation of factors to sample size?
- Risk of assessing control risk too low represents the risk that the auditor concludes that the design and operation of an internal control is effective when in fact it is not. The level used for this risk is based on the auditor’s desired control risk assessment. The lower the desired control risk assessment the lower the needed risk of assessing control risk too low. This risk is inversely related to sample size.
- Expected Population Deviation Rate represents the auditor’s best estimate of the population deviation rate. This rate is normally based on prior experience with the client. This rate is directly related to sample size.
- Tolerable Deviation Rate represents the highest deviation rate the auditor could accept and still conclude that the design and operation of an internal control is effective. This rate is based on the tolerable misstatement relative to the number and dollar size of traansactions included in the population. Tolerable misstatement represents the maximum misstatement that could occur before the population would be considered materially misstated. The lower the required tolerable misstatement relative to the number and dollar size of transactions the lower the needed tolerable deviation rate. This rate is inversely related to sample size.
Probability-proportionate-to-size Sampling (Monetary-unit Sampling)
- PPS is used with substantive tests
PPS allows the auditor to estimate the total misstatement of a population. It is different from other sampling approaches used by auditors in that each dollar in the population is treated as a separate sampling unit instead of each customer, invoice, check, vendor, etc.
Also, PPS sampling requires special design considerations when there are negative balances, while classical methods do not.
PPS Sample Size Factors
- what is relationship of factors to sample size?
Sample size for a PPS application can be determined by reference to a PPS sampling table. The factors considered when determining sample size for substantive tests are:
- Risk of incorrect acceptance represents the risk that the auditor concludes that a material misstatement does not exist when in fact a material misstatement does exist. The level used for this risk is based on the auditor’s planned detection risk and other planned substantive tests. A higher risk of incorrect acceptance is used with a higher planned detection risk and/or other planned substantive tests. This risk is inversely related to sample size.
- Expected Number of Misstated Dollars represents the auditor’s best estimate of the number of sample dollars that will be misstated. This estimate is based on prior experience with the client and is normally expected to be zero when PPS is used. This estimate is directly related to sample size.
- Tolerable Misstatement represents the highest misstatement that could occur before the population would be considered materially misstated. This amount has an inverse relationship with sample size.
- Reported $ Balance represents the total recorded dollar balance in the population.
Non-Statistical Sampling
Non-statistical sampling can be used with tests of controls or substantive tests. Non-statistical sampling does not require the use of a probabilistic selection method.
- The main advantage of non-statistical sampling is that it is less complex and less time consuming than statistical sampling.
- The main disadvantage is that sampling theory cannot be used to quantify sampling risk.
Non-Statistical Sampling Factors
- what is relationship of factors to sample size?
- remember same as attribute factors
Sample size for non-statistical sampling is left entirely to the auditor’s professional judgement. The factors considered when determining sample size for tests of controls using a non-statistical approach are the same as those considered for attributes sampling. The factors considered when determining sample size for substantive tests using a non-statistical approach are:
- Risk of incorrect acceptance represents the risk that the auditor concludes that a material misstatement does not exist when in fact a material misstatement does exist. The level used for this risk is based on the auditor’s planned detection risk and other planned substantive tests. A higher risk of incorrect acceptance is used with a higher planned detection risk and/or other planned substantive tests. This risk is inversely related to sample size.
- Risk of incorrect rejection represents the risk that the auditor concludes that a material misstatement exists when in fact a material misstatement does not exist. The level used for this risk is based on the cost and difficulty of obtaining additional evidence. A lower risk of incorrect acceptance is used when more costly or difficult evidence will be required if expanded testing is needed. This risk is inversely related to sample size.
- Expected Misstatement represents the auditor’s best estimate of the population misstatement. This estimate is normally based on prior experience with the client. This estimate is directly related to sample size.
- Tolerable Misstatement represents the highest misstatement that could occur before the population would be considered materially misstated. This amount has an inverse relationship with sample size.
Attributes Sampling Steps
Note that AS is used exclusively with tests of controls
Attributes sampling (used in tests of controls) reaches a conclusion in terms of a rate of occurrence.
- Determine the objectives of the test
- Define the deviation conditions (this is different from VS!!!)
- Define the population
- Define the period covered by the test
- Define the sampling unit
- Consider the completeness of the population
Variables Sampling Steps
- Types of Variable Sampling
- Steps
Note that VS is used exclusively with substantive testing of details
Variables sampling (used in substantive testing) reaches a conclusion in dollar amounts (or possibly in units).
Types
- Probability-proportional-to-size (PPS) sampling
- Classical variables sampling techniques
Steps
- Determine the objectives of the test
- Define the population
- Define the sampling unit
- Consider the completeness of the population
- Identify individually significant items
- Select an audit sampling technique
Systematic Sampling
Every nth (population size/sample size) item is selected after a random start. When a random starting point is used, this method provides every sampling unit in the population an equal chance of being selected. If the population is arranged randomly, systematic selection is essentially the same as random number selection.
- Advantage: population items do not have to be numbered.
- Disadvantage: the population may be systematically ordered, this can be overcome by using multiple random starts.
Difference and Ratio Estimation Sampling
Alternatives to mean-per-unit estimation (i.e. more efficient than MPU)
- Difference estimation will be used if the differences between sample audit values and book values are a relatively constant dollar amount, regardless of account size.
- Ratio estimation will be used if the differences are a constant percentage of book values.
In order to use either difference or ratio estimation, the following constraints must be met:
- The individual book values must be known and must sum to the total book value.
- There must be more than a few differences (20 is often suggested as a minimum) between audit and book values.
The ratio estimation sampling technique is based upon comparing the ratio of the book value to the audited value of the sampled items. This method cannot be used when book values for the sample items are unknown.
Audit Sampling Definition
Audit sampling is the application of an audit procedure to less than 100% of the items within an account balance or class of transactions for the purpose of evaluating some characteristic of the balance or class.
PPS vs. Variables Sampling
Advantages of PPS sampling - most common in actual practice
- Generally easier to use.
- Size of sample not based on variation of audited amounts.
- Automatically results in a stratified sample.
- Individually significant items are automatically identified.
- Usually results in a smaller sample size if no misstatements are expected.
- Can be easily designed and sample selection can begin before the complete population is available.
Advantages of classical variables sampling
- May result in a smaller sample size if there are many differences between audited and book values.
- Easier to expand sample size if that becomes necessary.
- Selection of zero balances does not require special sample design considerations.
- Inclusion of negative balances does not require special sample design considerations.
Which of the following is the primary objective of probability-proportional-to-sample (PPS) size?
To identify overstatement errors
- PPS sampling is most effective in detecting overstatements, since the likelihood of an item’s selection increases with the recorded magnitude of the item.
An auditor examining inventory may appropriately apply sampling for attributes in order to estimate the?
- Average price of inventory items.
- Percentage of slow-moving inventory items.
- Dollar value of inventory.
- Physical quantity of inventory items.
Percentage of slow-moving inventory items.
Remember that attribute sampling is used to determine a rate of occurrence as a test of controls.
Attribute sampling expresses a conclusion about the population in terms of a rate of occurrence. Accordingly, determining the percentage of slow-moving inventory items would be an appropriate attribute sampling application.
What should the auditor do when the actual deviation rate plus the allowance for sampling rate exceed the tolerable rate?
When the deviation rate plus the allowance for sampling risk exceeds the tolerable rate, the assessed level of control risk may increase.
There are many kinds of statistical estimates that an auditor may find useful, but basically every accounting estimate is either of a quantity or of an error rate. The statistical terms that roughly correspond to “quantities” and “error rate,” respectively, are:
- Attributes and variables.
- Variables and attributes.
- Constants and attributes.
- Constants and variables.
Variables and attributes.
- Variables sampling is measurement of a continuous variable (i.e., a variable such as number of items in inventory or amount of accounts receivable). The variable being estimated can take on a continuum of values (e.g., zero to infinity). Variable sampling is based upon the normal distribution.
- Attribute sampling is based on the binomial distribution and sample items must be binary in nature (i.e., right or wrong, correct or incorrect, etc.) Attribute sampling is most applicable to tests of compliance and variables sampling is most applicable to substantive tests.
In estimation sampling for attributes, which one of the following must be known in order to appraise the results of the auditor’s sample?
- Estimated dollar value of the population.
- Standard deviation of the values in the population.
- Actual occurrence rate of the attribute in the population.
- Sample size.
Sample size. The sample size is needed in order to evaluate the results of the attribute sampling since it is used to calculate the deviation rate for the sample.