Auditing: A Risk Based-Approach to Conducting a Quality Audit
10th Edition
ISBN: 9781305080577
Author: Karla M Johnstone, Audrey A. Gramling, Larry E. Rittenberg
Publisher: South-Western College Pub
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Chapter 8, Problem 55RSCQ
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.
Assume 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.
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Chapter 8 Solutions
Auditing: A Risk Based-Approach to Conducting a Quality Audit
Ch. 8 - Prob. 1TFQCh. 8 - Prob. 2TFQCh. 8 - Prob. 3TFQCh. 8 - Prob. 4TFQCh. 8 - Prob. 5TFQCh. 8 - Prob. 6TFQCh. 8 - Prob. 7TFQCh. 8 - Prob. 8TFQCh. 8 - Prob. 9TFQCh. 8 - Prob. 10TFQ
Ch. 8 - Prob. 11TFQCh. 8 - Prob. 12TFQCh. 8 - Prob. 13TFQCh. 8 - Prob. 14TFQCh. 8 - Prob. 15MCQCh. 8 - Prob. 16MCQCh. 8 - Prob. 17MCQCh. 8 - Prob. 18MCQCh. 8 - Prob. 19MCQCh. 8 - Prob. 20MCQCh. 8 - Prob. 21MCQCh. 8 - Refer to Exhibit 8.6. Assume a 5% risk of...Ch. 8 - Prob. 23MCQCh. 8 - Prob. 24MCQCh. 8 - Prob. 25MCQCh. 8 - Prob. 26MCQCh. 8 - Prob. 27MCQCh. 8 - Prob. 28MCQCh. 8 - Prob. 29RSCQCh. 8 - Prob. 30RSCQCh. 8 - Prob. 31RSCQCh. 8 - Prob. 32RSCQCh. 8 - Prob. 33RSCQCh. 8 - Prob. 34RSCQCh. 8 - Prob. 35RSCQCh. 8 - Prob. 36RSCQCh. 8 - Prob. 37RSCQCh. 8 - Prob. 38RSCQCh. 8 - Prob. 39RSCQCh. 8 - Prob. 40RSCQCh. 8 - Prob. 41RSCQCh. 8 - Prob. 42RSCQCh. 8 - Prob. 43RSCQCh. 8 - Prob. 44RSCQCh. 8 - Prob. 45RSCQCh. 8 - Prob. 46RSCQCh. 8 - Prob. 47RSCQCh. 8 - What is stratification? Distinguish between...Ch. 8 - Prob. 49RSCQCh. 8 - Prob. 50RSCQCh. 8 - Prob. 51RSCQCh. 8 - Prob. 52RSCQCh. 8 - Prob. 53RSCQCh. 8 - Prob. 54RSCQCh. 8 - Prob. 55RSCQCh. 8 - Prob. 56RSCQCh. 8 - Prob. 57RSCQCh. 8 - Prob. 58RSCQCh. 8 - Prob. 59RSCQCh. 8 - Prob. 60RSCQCh. 8 - Prob. 61RSCQCh. 8 - Prob. 62RSCQCh. 8 - Prob. 63RSCQ
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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_forwardPlease answer asaparrow_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
- Select 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_forwardThe 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_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
- Consider a sample with data values of 53, 55, 70, 58, 64, 57, 53, 69, 57, 68, and 53. Compute the mean, median, and mode.arrow_forwardFor each term in the first column below, identify its definition (or partial definition). Each definition may be used once or not at all. # 1 2 3 4 5 6 7 8 9 Definition (or Partial Definition) A defined rate of departure from prescribed controls. Also referred to as occurrence rate or exception rate. A sampling plan for locating at least 1 deviation, providing that the deviation occurs in the population with a specified frequency. Also referred to as precision, a measure of the difference between a sample estimate (projection) and the tolerable rate of deviation or tolerable misstatement at a specified sampling risk. An estimate of the most likely amount of monetary misstatement in a population. The complement of the risk of incorrect acceptance. The maximum population rate of deviations from a prescribed control that the auditors will accept without modifying the planned assessment of control risk. The possibility that the assessed level of control risk based on the sample is less…arrow_forwardEvan Kristopher, CPA intends to use probability-proportional-to-size sampling. He has properly selected and audited a sample of 100 accounts receivable from his client’s population of 3,000 accounts. He calculated a sampling interval of $6,000 and the tolerable misstatement for the account is $30,000. Evan also recalls that “basic precision” is equal to the appropriate reliability factor multiplied times the sampling interval. He wishes to accept a risk of incorrect acceptance of 10%. He found that 97 of the 100 accounts in the sample were properly calculated. However, the following three errors existed: Book Value Audited Value $75 $70 1,000 750 9,300 6,720 Required: Calculate the projected misstatement. Calculate the basic precision. Calculate the incremental allowance. Calculate the upper limit on misstatement. What would the auditors’ conclusion be for the population based on the analysis? explain pleasearrow_forward
- Evan Kristopher, CPA intends to use probability-proportional-to-size sampling. He has properly selected and audited a sample of 100 accounts receivable from his client’s population of 3,000 accounts. He calculated a sampling interval of $6,000 and the tolerable misstatement for the account is $30,000. Evan also recalls that “basic precision” is equal to the appropriate reliability factor multiplied times the sampling interval. He wishes to accept a risk of incorrect acceptance of 10%. He found that 97 of the 100 accounts in the sample were properly calculated. However, the following three errors existed: Book Value Audited Value $75 $70 1,000 750 9,300 6,720 Required: Calculate the projected misstatement. Calculate the basic precision. Calculate the incremental allowance. Calculate the upper limit on misstatement. What would the auditors’ conclusion be for the population based on the analysis?arrow_forwardSample Size and Sampling Interval Determination: Monetary Unit Sampling. CaseyPaul is considering the use of MUS in examining Stanley’s accounts receivable, which wererecorded at $300,000. Using the audit risk model, Paul has identified a necessary risk ofincorrect acceptance of 10 percent and has established a tolerable misstatement of $25,000and an expected misstatement of $10,000.Required:a. Determine the necessary sample size for the audit of Stanley’s accounts receivable.b. Based on the sample size determined in part (a), what is the appropriate sampling interval?c. Briefly describe how Paul would select the sample from a computerized customer listthat Stanley maintains.d. How would each of the following changes in Paul’s sampling plan impact the sample size andsampling interval? For each change, use the original parameters noted in the problem. (Verifyyour answer by calculating the sample size associated with each change.)1. A reduction in the necessary level of the risk of…arrow_forwardThe following are auditor judgments and attributes sampling results for six populations. Assume large population sizes. 1 2 3 4 5 6 EPER (in percent) 2 0.5 1 0 2 5 TER (in percent) 6 4 20 3 8 10 ARO (in percent) 10 5 10 5 5 10 Actual sample size 100 100 20 100 60 60 Actual number of exceptions in the sample 2 3 1 1 1 5 For each population, did the auditor select a smaller sample size than is indicated by using the attributes sampling tables in Table 15-8(p. 519) for determining sample size? What are the implications of selecting either a larger or smaller sample size than those determined using the tables? Calculate the SER and CUER for each population. For which of the six populations should the sample results be considered unacceptable? What options are available to the auditor? Why is analysis of the exceptions necessary even when the populations are considered acceptable? For…arrow_forward
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