Auditing: A Risk Based-Approach (MindTap Course List)
11th Edition
ISBN: 9781337619455
Author: Karla M Johnstone, Audrey A. Gramling, Larry E. Rittenberg
Publisher: Cengage Learning
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Question
Chapter 8, Problem 27RQSC
To determine
Introduction: The sampling interval is the ratio of the population size to the
To evaluate : The sampling interval of given cases for population $8,500,000.
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Identify the factors an auditor uses to decide the appropriateARO. Compare the sample size for an ARO of 10% with that of 5%, all other factorsbeing equal.
Assume that an account with a recorded balance of $5,000 has an audited value of $3,000. By using monetary unit sampling, if the sampling interval is $1,500, the projected misstatement would bea. $600.b. $900.c. $2,000.d. $3,000.
Sample Size Determination. Review each of the following independent sets of conditions.Required:Use AICPA sample size tables to identify the appropriate sample size for use in a statistical sampling application (ROO = risk of overreliance, EPDR = expected population deviation rate, TRD = tolerable rate of deviation). What is your conclusion regarding the relationship of each of these factors to sample size based on comparing the sample sizes across differentcombinations of these factors?a. ROO = 5%, EPDR = 0%, TRD = 7%.b. ROO = 5%, EPDR = 3%, TRD = 7%.c. ROO = 5%, EPDR = 3%, TRD = 6%.d. ROO = 10%, EPDR = 0%, TRD = 7%.
Chapter 8 Solutions
Auditing: A Risk Based-Approach (MindTap Course List)
Ch. 8 - Prob. 1CYBKCh. 8 - Prob. 2CYBKCh. 8 - Prob. 3CYBKCh. 8 - Prob. 4CYBKCh. 8 - Prob. 5CYBKCh. 8 - Prob. 6CYBKCh. 8 - Prob. 7CYBKCh. 8 - Prob. 8CYBKCh. 8 - Prob. 9CYBKCh. 8 - Prob. 10CYBK
Ch. 8 - Prob. 11CYBKCh. 8 - Prob. 12CYBKCh. 8 - Prob. 13CYBKCh. 8 - Prob. 14CYBKCh. 8 - Prob. 15CYBKCh. 8 - Prob. 16CYBKCh. 8 - Prob. 17CYBKCh. 8 - Prob. 18CYBKCh. 8 - Refer to Exhibit 8.6. Assume a 5% risk of...Ch. 8 - Prob. 21CYBKCh. 8 - Prob. 22CYBKCh. 8 - Prob. 23CYBKCh. 8 - Prob. 24CYBKCh. 8 - Prob. 25CYBKCh. 8 - Prob. 26CYBKCh. 8 - Prob. 27CYBKCh. 8 - Prob. 28CYBKCh. 8 - Prob. 29CYBKCh. 8 - Prob. 30CYBKCh. 8 - Prob. 31CYBKCh. 8 - Prob. 32CYBKCh. 8 - Prob. 33CYBKCh. 8 - Prob. 34CYBKCh. 8 - Prob. 35CYBKCh. 8 - Prob. 36CYBKCh. 8 - Prob. 37CYBKCh. 8 - Prob. 38CYBKCh. 8 - Prob. 39CYBKCh. 8 - Prob. 1RQSCCh. 8 - Prob. 3RQSCCh. 8 - Prob. 4RQSCCh. 8 - Prob. 5RQSCCh. 8 - Prob. 6RQSCCh. 8 - Prob. 7RQSCCh. 8 - Prob. 8RQSCCh. 8 - Prob. 9RQSCCh. 8 - Prob. 10RQSCCh. 8 - Prob. 11RQSCCh. 8 - Prob. 12RQSCCh. 8 - Prob. 13RQSCCh. 8 - Prob. 14RQSCCh. 8 - Prob. 15RQSCCh. 8 - Prob. 16RQSCCh. 8 - Prob. 17RQSCCh. 8 - Prob. 18RQSCCh. 8 - Prob. 19RQSCCh. 8 - What is stratification? Distinguish between...Ch. 8 - Prob. 21RQSCCh. 8 - Prob. 22RQSCCh. 8 - Prob. 23RQSCCh. 8 - Prob. 24RQSCCh. 8 - Prob. 25RQSCCh. 8 - Prob. 26RQSCCh. 8 - Prob. 27RQSCCh. 8 - Prob. 28RQSCCh. 8 - Prob. 29RQSCCh. 8 - Prob. 30RQSCCh. 8 - Prob. 31RQSCCh. 8 - Prob. 32RQSCCh. 8 - Prob. 33RQSCCh. 8 - Prob. 36RQSCCh. 8 - Prob. 37RQSC
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- Consider a sample with data values of 10, 20, 12, 17, and 16. a. Compute the mean and median. b. Consider a sample with data values 10, 20, 12, 17, 16, and 12. How would you expect the mean and median for these sample data to compare to the mean and median for part a (higher, lower, or the same)? Compute the mean and median for the sample data 10, 20, 12, 17, 16, and 12.arrow_forwardReview each of the following independent sets of conditions. For each condition, calculatethe (1) sample rate of deviation, (2) ULRD, and (3) allowance for sampling risk (n = samplesize, d = deviations, ROO = risk of overreliance). What is your conclusion regarding therelationship of each of these factors to the ULRD based on comparing the ULRD across different combinations of these factors?a. n = 100, d = 8, ROO = 5%.b. n = 100, d = 4, ROO = 5%.c. n = 100, d = 8, ROO = 10%arrow_forwardAssume that you have selected a random sample of 15 checks from a population of 800 checks. The checks you have selected are the following numbers: 664, 789, 650, 136, 365, 538, 800, 657, 110, 136, 398, 645, 214, 544, and 777. Based on this sample, evaluate the truth of the following statements regarding your findings. Describe why you feel each statement is true or false. a. You have determined that Check No. 365 was not properly signed and was paid to a fictitious vendor. You conclude that fraud exists in the population. b. You have determined that no fraud exists in the sample of 15 checks you evaluated. You conclude that no fraud exists in the population.arrow_forward
- Sample Size Determination. Review each of the following independent sets of conditions.Required:Use AICPA sample size tables to identify the appropriate sample size for use in a statisticalsampling application (ROO = risk of overreliance, EPDR = expected population deviationrate, TRD = tolerable rate of deviation). What is your conclusion regarding the relationshipof each of these factors to sample size based on comparing the sample sizes across differentcombinations of these factors?a. ROO = 5%, EPDR = 1%, TRD = 4%.b. ROO = 5%, EPDR = 1.5%, TRD = 4%.c. ROO = 5%, EPDR = 1.5%, TRD = 6%.d. ROO = 10%, EPDR = 1.5%, TRD = 4%arrow_forwardample Size Determination. Review each of the following independent sets of conditions.Required:Use AICPA sample size tables to identify the appropriate sample size for use in a statisticalsampling application (ROO = risk of overreliance, EPDR = expected population deviationrate, TRD = tolerable rate of deviation). What is your conclusion regarding the relationshipof each of these factors to sample size based on comparing the sample sizes across differentcombinations of these factors?a. ROO = 5%, EPDR = 0%, TRD = 7%.b. ROO = 5%, EPDR = 3%, TRD = 7%.c. ROO = 5%, EPDR = 3%, TRD = 6%.d. ROO = 10%, EPDR = 0%, TRD = 7%.arrow_forwardS1: Mean per unit estimation is a classical variable sampling technique that projects the sample average to the total population by multiplying the sample average by the number of items in the population. S2: The more the auditor is relying on other substantive procedures to reduce to an acceptable level the detection risk regarding a particular population, the less assurance the auditor will require from sampling, and the smaller the sample size can be. a. BOTH STATEMENTS ARE TRUE b. BOTH STATEMENTS ARE FALSE c. ONLY S1 IS TRUE d. ONLY S2 IS TRUEarrow_forward
- The upper precision limit (CUER) in statistical sampling is(1) the percentage of items in a sample that possess a particular attribute.(2) the percentage of items in a population that possess a particular attribute.(3) a statistical measure, at a specified confidence level, of the maximum rate ofoccurrence of an attribute.(4) the maximum rate of exception that the auditor would be willing to accept inthe population without altering the planned reliance on the attribute.arrow_forwardSelect the necessary words from the list of possibilities to complete the following statements. 1. 2. 7. Inherent in the use of sampling is representative of the population. 9. When the auditors estimate sampling risk using professional judgment rather than by using the laws of probability, they are said to be using. sampling. an item from the population may be selected two or more times for inclusion in the When using sample. The term 3. 4. 5. In performing tests of controls, the auditors are primarily concerned with the risk of assessing 6. To use attributes sampling tables, the auditors must stipulate the desired risk of assessing control risk too low, the expected deviation rate in the population, and the desired Statements risk which is the possibility of selecting a sample that i not refers to the process of dividing a population into relatively homogeneous subgroups. sampling is usually used in situations in which the auditors expect a very low rate of occurrence of some…arrow_forwardSuppose you're given a data set that classifies each sample unit into one of four categories: A, B, C, the data as A = 1, B=2, C = 3, and D=4. Are the data consisting of the classifications A, B, C, and D or quantitative? Are the data consisting of the classifications A, B, C, and D qualitiative or quantitative? OA. Qualitative, because they are measured on a naturally occuring numerical scale. B. Quantitative, because they are measured on a naturally occuring numerical scale. C. Quantitative, because they can only be classified into categories. D. Qualitative, because they can only be classified into categories. *** After the data are input as 1, 2, 3, or 4, are they qualitative or quantitative? OA. Qualitative, because they cannot be meaningfully added, subtracted, multiplied, or divided. B. Qualitative, because they are measured on a naturally occurring numerical scale. OC. Quantitative, because they are measured on a naturally occurring numerical scale. OD. Quantitative, because…arrow_forward
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