Chapter 8 & 9- Practice (HW, Quiz Assignments) Flashcards
An advantage of statistical sampling over nonstatistical sampling is that statistical sampling helps an auditor to
a) Eliminate the risk of nonsampling errors.
b) Reduce audit risk and materiality to a relatively low level.
c) Measure the sufficiency of the evidential matter obtained.
d) Minimize the failure to detect errors and fraud.
c) Measure the sufficiency of the evidential matter obtained.
Samples to test internal controls are intended to provide a basis for an auditor to conclude
whether:
a) The controls are operating effectively.
b) The financial statements are materially misstated.
c) The risk of incorrect acceptance is too high.
d) Materiality for planning purposes is at a sufficiently low level.
a) The controls are operating effectively.
When assessing the tolerable deviation rate, the auditor should consider that, while deviations from control procedures increase the risk of material misstatements, such deviations do not necessarily result in misstatements. This explains why:
a) A recorded disbursement that does not show evidence of required approval may nevertheless be a transaction that is properly authorized and recorded.
b) Deviations would result in errors in the accounting records only if the deviations and the misstatements occurred on different transactions.
c) Deviations from pertinent control procedures at a given rate ordinarily would be expected to result in misstatements at a higher rate.
d) A recorded disbursement that is properly authorized may nevertheless be a transaction that contains a material misstatement.
a) A recorded disbursement that does not show evidence of required approval may nevertheless be a transaction that is properly authorized and recorded.
Which of the following combinations results in the greatest decrease in sample size in an attribute sample for a test of controls?
a) Desired Confidence Level- Decrease, Tolerable Deviation- Decrease, Expected Population Deviation Rate- Increase
b) Desired Confidence Level- Increase, Tolerable Deviation- Increase, Expected Population Deviation Rate- Decrease
c) Desired Confidence Level- Decrease, Tolerable Deviation- Increase, Expected Population Deviation Rate- Decrease
d) Desired Confidence Level- Decrease, Tolerable Deviation- Increase, Expected Population Deviation Rate- Increase
c) Desired Confidence Level- Decrease, Tolerable Deviation- Increase, Expected Population Deviation Rate- Decrease
An auditor desired to test credit approval on 10,000 sales invoices processed during the year. The auditor designed a statistical sample that would provide 1 percent risk of assessing control risk too low for the assertion that not more than 7 percent of the sales invoices lacked approval. The auditor estimated from previous experience that about 2½ percent of the sales invoices lacked approval. A sample of 200 invoices was examined, and 7 of them were lacking approval. The auditor then determined the computed upper deviation rate to be 8 percent.
In the evaluation of this sample, the auditor decided to increase the level of the preliminary assessment of control risk because the:
a) Tolerable deviation rate (7 percent) was less than the computed upper deviation rate (8 percent).
b) Expected population deviation rate (7 percent) was more than the percentage of errors in the sample (3½ percent).
c) Computed upper deviation rate (8 percent) was more than the percentage of errors in the sample (3½ percent).
d) Expected population deviation rate (2½ percent) was less than the tolerable deviation rate (7 percent).
a) Tolerable deviation rate (7 percent) was less than the computed upper deviation rate (8 percent).
An auditor desired to test credit approval on 10,000 sales invoices processed during the year. The auditor designed a statistical sample that would provide 1 percent risk of assessing control risk too low for the assertion that not more than 7 percent of the sales invoices lacked approval. The auditor estimated from previous experience that about 2½ percent of the sales invoices lacked approval. A sample of 200 invoices was examined, and 7 of them were lacking approval. The auditor then determined the computed upper deviation rate to be 8 percent.
Based on the information above, the planned allowance for sampling risk was
a) 5½ percent.
b) 4½ percent.
c) 3½ percent.
d) 1 percent.
b) 4½ percent.
Suppose as a result of sample testing of controls, an auditor assesses control risk higher than necessary given the actual (but unknown) population deviation rate and thereby increases substantive testing. This is illustrated by which of the four possible outcome conditions?
a) Auditor’s Estimate Based on Sample Results:
Computed upper deviation rate is less than tolerable deviation rate. -> Actual Population Deviation Rate Is Less Than Tolerable Deviation Rate.
b) Auditor’s Estimate Based on Sample Results: Computed upper deviation rate exceeds tolerable deviation rate. -> Actual Population Deviation Rate Is Less Than Tolerable Deviation Rate.
c) Auditor’s Estimate Based on Sample Results:
Computed upper deviation rate is less than tolerable deviation rate. -> Actual Population Deviation Rate Exceeds Tolerable Deviation Rate
d) Auditor’s Estimate Based on Sample Results: Computed upper deviation rate exceeds tolerable deviation rate. -> Actual Population Deviation Rate
Exceeds Tolerable Deviation Rate
b) Auditor’s Estimate Based on Sample Results: Computed upper deviation rate exceeds tolerable deviation rate. -> Actual Population Deviation Rate Is Less Than Tolerable Deviation Rate.
Which of the following statements is correct concerning statistical sampling in tests of controls?
a) Deviations from controls at a given rate usually result in misstatements at a higher rate.
b) As the population size doubles, the sample size should also double.
c) The qualitative aspects of deviations are not considered by the auditor.
d) There is an inverse relationship between the sample size and the tolerable deviation rate.
d) There is an inverse relationship between the sample size and the tolerable deviation rate.
Assume an auditor is evaluating a statistical attribute sample of 50 items that resulted in three deviations. What should the auditor conclude if the tolerable deviation rate is 7 percent, the expected population deviation rate is 5 percent, and the allowance for sampling risk is 2 percent?
a) The planned assessed level of control risk should be modified because the tolerable deviation rate plus the allowance for sampling risk exceeds the expected population deviation rate.
b) The sample results should be accepted as support for the planned assessed level of control risk because the sample deviation rate plus the allowance for sampling risk exceeds the tolerable deviation rate.
c) The sample results should be accepted as support for the planned assessed level of control risk because the tolerable deviation rate less the allowance for sampling risk equals the expected population deviation rate.
d) The planned assessed level of control risk should be modified because the sample deviation rate plus the allowance for sampling risk exceeds the tolerable deviation rate.
d) The planned assessed level of control risk should be modified because the sample deviation rate plus the allowance for sampling risk exceeds the tolerable deviation rate.
As a result of sampling procedures applied as tests of controls, an auditor incorrectly assesses control risk lower than appropriate. The most likely explanation for this situation is that:
a) The deviation rates of both the auditor’s sample and the population exceed the tolerable deviation rate.
b) The deviation rates of both the auditor’s sample and the population are less than the tolerable deviation rate.
c) The deviation rate in the auditor’s sample is less than the tolerable deviation rate, but the deviation rate in the population exceeds the tolerable deviation rate.
d) The deviation rate in the auditor’s sample exceeds the tolerable deviation rate, but the deviation rate in the population is less than the tolerable deviation rate.
c) The deviation rate in the auditor’s sample is less than the tolerable deviation rate, but the deviation rate in the population exceeds the tolerable deviation rate.
Define audit sampling. Why do auditors sample instead of examining every transaction?
Audit sampling is the application of audit procedures to less than 100 percent of the items in a population of audit relevance selected in such a way that the auditor expects the sample to be representative of the population and thus likely to provide a reasonable basis for conclusions about the population.
When the number of items or transactions in these populations is large and the items cannot be tested via computer assisted audit techniques or audit data analytics (e.g., physical examination, confirmations), it is not economical for auditors to test 100 percent for the population; instead they use sampling to gather sufficient audit evidence.
The justification for accepting some uncertainty from sampling is due to the trade-off between the cost to examine all of the data and the cost of making an incorrect decision based on a sample of the data.
Distinguish between Type I and Type II errors. What terms are used to describe these errors when the auditor is conducting tests of controls and substantive tests? What costs are potentially incurred by auditors when such decision errors occur?
Risk of incorrect rejection (Type I): the risk that the assessed level of control risk based on the sample is greater than the true operating effectiveness of the control. Also commonly referred to as the risk of assessing control risk too high or the risk of underreliance.
Risk of incorrect acceptance (Type II): the risk that the assessed level of control risk based on the sample is less than the true operating effectiveness of the control. Also commonly referred as the risk of assessing control risk too low or the risk of overreliance.
In reference to substantive tests, Type I and Type II errors are as follows:
Risk of incorrect rejection (Type I): the risk that the sample supports the conclusion that the recorded account balance is materially misstated when it is not materially misstated.
Risk of incorrect acceptance (Type II): the risk that the sample supports the conclusion that the recorded account balance is not materially misstated when it is materially misstated.
The risk of incorrect rejection (Type I) relates to the efficiency of the audit because such errors can result in the auditor’s conducting more audit work than necessary in order to reach the correct conclusion.
The risk of incorrect acceptance (Type II) relates to the effectiveness of the audit because such errors can result in the auditor failing to detect a material misstatement in the financial statements. This can lead to litigation against the auditor by parties who relied on the financial statements.
List audit evidence types that do not involve sampling and provide an example of a situation where an auditor would not use audit sampling
Audit evidence types that do not involve audit sampling include:
1) Analytical procedures
2) Scanning
3) Inquiry
4) Observation
Examples of situations where audit sampling would not be used include:
1) Procedures applied to every item in the account or population (typically due to a small number of large items)
2) Classes of transactions or account balances not tested
3) Tests of automated information technology controls
Distinguish between nonstatistical and statistical sampling.
Nonstatistical sampling is an approach in which the auditor uses a haphazard selection technique or uses judgment in any or all of the following steps:*
1) Determining the sample size
2) Selecting the sample
3) Calculating the computed upper deviation rate
Nonstatistical sampling doesn’t require the use of statistical theory to determine sample size or in the evaluation of sampling risk, although auditing standards require the extent of testing to be comparable for both types of sampling. Statistical sampling uses the laws of probability to determine sample size, randomly select sampling units, and to evaluate the results of an audit sample. The use of statistical theory permits the auditor to quantify the sampling risk for the purpose of reaching a conclusion about the population.
List 3 advantages and 3 disadvantages of statistical sampling:
The major advantages of a statistical sampling application are that it helps the auditor:
(1) design an efficient sample
(2) measure the sufficiency of evidence obtained
(3) quantify sampling risk.
The disadvantages of statistical sampling include the additional costs of:
(1) training auditors in the proper use of sampling technique
(2) added complexity in designing and conducting the sampling application
(3) lack of consistent application across audit teams due to the complexity of the underlying concepts.