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Concept explainers
Refer to Exhibit 8.6. Assume a 5% risk of overreliance,a tolerable deviation rate of 8%, a
a. 10.3%. The auditor is 95% confident that the real error rate in the population is no greater than 10.3%.
b. 10.3%. The auditor is 95% confident that the real error rate in the population is no greater than 5%.
c. 5%. The auditor is 92% confident that the real error rate in the population is no greater than 10.3%.
d. 5%. The auditor is 92% confident that the real error rate in the population is no greater than 5%.
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Chapter 8 Solutions
Bundle: Auditing: A Risk Based-Approach, Loose-leaf Version, 11th + MindTap Accounting, 1 term (6 months) Printed Access Card
- Assume that Dylan Lee found two deviations in a sample of 90 transactions. Using AICPAsample evaluation tables, Lee determined that the ULRD at a 5 percent risk of overrelianceisa. 2.0 percent.b. 2.2 percent.c. 5.9 percent.d. 6.9 percentarrow_forwardHow large a sample should be selected to provide a 95% confidence interval with a margin of error of 6? Assume that the population standard deviation is 20. Round your answer to next whole number.arrow_forwardWhich one of the sentences below is FALSE? A. The risk of incorrect acceptance called beta risk has the consequence that the auditor may assume that the population is free of material misstatement. B. The risk of incorrect rejection is called alpha risk and has the consequence that the auditor may assume on the basis of sample results that a population is materially misstated when, in fact, it is not . C. The risk of incorrect acceptance is called beta risk. D. The risk of incorrect rejection very common in audit sampling is called beta risk.arrow_forward
- Evaluate the following statement made by an auditor: “I took arandom sample and derived a 90 percent confidence interval of $800,000 to $900,000.That means that the true population value will be between $800,000 and $900,000, 90percent of the time.”arrow_forwardIf the _______ exceeds the _______, the audit team would decide to rely on internal control as planned and maintain control risk at planned levels.a. ULRD; tolerable rate of deviation.b. tolerable rate of deviation; ULRD.c. expected population deviation rate; tolerable rate of deviation.d. tolerable rate of deviation; expected population deviation rate.arrow_forwardSample Size Determination. For each of the following independent cases, use AICPA sample size tables to identify the missing value(s). Control 1 2 3 4 Risk of overreliance 5.0% 5.0% 10.0% (d) Expected population deviation rate 1.25% 2.5% (c) 1.25% Tolerable rate of deviation 7.0% (b) 6.0% 6.0% Sample size (a) 68 153 78arrow_forward
- d. Assume that based on additional controls implemented by ELM, your audit team has decided to reduce the expected misstatement from $77,928 to $19,482 (0.5 percent of the recorded balance of the transactions). What is the necessary sample size, holding all other factors constant?arrow_forwardK Conduct a test at the α = 0.05 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the P-value. Assume the samples were obtained independently from a large population using simple random sampling. Test whether p₁> P2. The sample data are x₁ = 116, n₁ = 244, x2 = 132, and n₂ = 313. (a) Choose the correct null and alternative hypotheses below. OA. Ho P1 P2 versus H₁: P1 P2 OB. Ho P₁ P2 versus H₁: P₁ P2 OD. Ho p₁ =0 versus H₁:.p₁ #0 (b) Determine the test statistic. Zo= (Round to two decimal places as needed.) (c) Determine the P-value. The P-value is (Round to three decimal places as needed.) What is the result of this hypothesis test? OA. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p₁ #p2- OB. Do not reject the null hypothesis because there is not sufficient evidence to conclude that p₁ P2- OD. Reject the null hypothesis because there is sufficient evidence to conclude that p₁…arrow_forwardAssume that you have selected a random sample of 15 checks from a population of 800 checks. The checks you have selected are the following numbers: 664, 789, 650, 136, 365, 538, 800, 657, 110, 136, 398, 645, 214, 544, and 777. Based on this sample, evaluate the truth of the following statements regarding your findings. Describe why you feel each statement is true or false. a. You have determined that Check No. 365 was not properly signed and was paid to a fictitious vendor. You conclude that fraud exists in the population. b. You have determined that no fraud exists in the sample of 15 checks you evaluated. You conclude that no fraud exists in the population.arrow_forward
- The standard deviation of.alt=”f$ar{X},f$ “> is usually called the A.standard error of the sample B.randomized standard error C.standard error of the mean D.standard error of the populationarrow_forwardIn a survey, the planning value for the population proportion is p* = 0.25. How large a sample should be taken to provide a 95% confidence interval with a margin of error of 0.03? Round your answer up to the next whole number.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_forward
- Auditing: A Risk Based-Approach (MindTap Course L...AccountingISBN:9781337619455Author:Karla M Johnstone, Audrey A. Gramling, Larry E. RittenbergPublisher:Cengage Learning
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