Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Chapter 9 Audit Sampling 9-2 What is Audit Sampling? Applying a procedure to less than 100% of a population To estimate some characteristic of the population Qualitative Quantitative McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-3 Advantages of Statistical Sampling Design efficient samples Measure sufficiency of evidence Objectively evaluate sample results McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-4 Selection of Random Sample Random number tables Random number generators Systematic selection McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-5 Random Number Table McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-6 Types of Statistical Sampling Plans Attributes sampling Discovery sampling Classical variables sampling Probability-proportional-to-size sampling McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. Requirements of Audit Sampling Plans When planning the sample consider: McGraw-Hill/Irwin 9-7 The relationship of the sample to the relevant audit objective Materiality or the maximum tolerable misstatement or deviation rate Allowable sampling risk Characteristics of the population Select sample items in such a manner that they can be expected to be representative of the population Sample results should be projected to the population Items that cannot be audited should be treated as misstatements or deviations in evaluating the sample results Nature and cause of misstatements or deviations should be evaluated © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-8 Sampling Risks--Tests of Controls Actual Extent of Operating Effectiveness of the Control Procedure is Adequate Inadequate The Test of Controls Sample Indicates: Extent of Operating Effectiveness is Adequate Correct Decision Extent of Operating Effectiveness Inadequate Incorrect Decision McGraw-Hill/Irwin (Risk of Assessing Control Risk Too Low) Incorrect Decision (Risk of Assessing Control Risk Too High) Correct Decision © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-9 Audit Sampling for Tests of Controls Determine the objective of the test Define the attributes and deviation conditions Define the population to be sampled Specify: McGraw-Hill/Irwin The risk of assessing control risk too low The tolerable deviation rate Estimate the population deviation rate Determine the sample size Select the sample Test the sample items Evaluate the sample results Document the sampling procedure © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-10 Sampling Risks--Substantive Tests The Substantive Procedure Sample Indicates Misstatement in Account Exceeds Tolerable Amount Misstatement in Account Is Less Than Tolerable Amount McGraw-Hill/Irwin The Population Actually is Not Materially Materially Misstated Misstated Correct Decision Incorrect Decision (Risk of Incorrect Acceptance) Incorrect Decision (Risk of Incorrect Rejection) Correct Decision © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. Audit Sampling for Substantive Tests McGraw-Hill/Irwin 9-11 Determine the objective of the test Define the population and sampling unit Choose an audit sampling technique Determine the sample size Select the sample Test the sample items Evaluate the sample results Document the sampling procedure © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-12 Population Variability—Why it Matters Item 1 2 3 4 5 Population A Population B 2,100 2,100 2,100 2,100 2,100 8,000 25 2,000 400 75 Mean 2,100 2,100 Standard deviation -0- 3,395 The variability determines how much information each of the items in the population tells you about the other items in the population. McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-13 Factors Affecting Sample Size McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-14 Determining Sample Size--MPU Sample size = Pop. size x Incorrect rej. coef . x Est. SD 2 Planned allowance for sampling risk McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. Determining Sample Size--MPU Sampling Planned allowance = for sampling risk McGraw-Hill/Irwin 9-15 Tolerable misstatement ______________________ 1 + Incorrect acceptance coef. Incorrect rejection coef. © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-16 Variables Sampling Illustration--MPU Adjusted allowance for sampling risk = Tolerable _ (Population size * Incorrect acceptance coef. * Sample stan. dev.) misstatement Sample size This formula “adjusts” the allowance for sampling risk to consider the standard deviation of the audited values in the sample. It holds the risk of incorrect acceptance at its planned level. McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-17 Variables Sampling Illustration--MPU Using the text example with a standard deviation of audited values of $16 Adjusted allowance for sampling risk = Tolerable _ (Population size * Incorrect acceptance coef. * Sample stan. dev.) misstatement Sample size = $364,000 _ ($100,000 * 1.64 * $16) 225 = $189,067 We would still “accept” the book balance because the $6,250,000 (book value) falls within this interval Estimate of total audited value $6,100,000 [$5,910,933 McGraw-Hill/Irwin + + to Adjusted allowance for sampling risk $189,067 $6,289,067] © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-18 Acceptance Interval Figure 9-12 McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-19 Nonstatistical Variables Sampling Illustration Plan Sample: Population: Tolerable misstatement = $10,000 Risk assessments: McGraw-Hill/Irwin Size = 363 items Book value = $200,000 Inherent and control risk = Slightly below maximum Other substantive tests = Moderate © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-20 Nonstatistical Sampling-Determination of Sample Size Sample size = Population book value X Reliability factor Tolerable misstatement = $200,000 X 2.0 $10,000 McGraw-Hill/Irwin = 40 items © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. Nonstatistical Sampling--Evaluation of Sample Results 9-21 Sample results: 40 accounts in sample $350 net overstatement $60,000 book value of sample items Projected misstatement: = [Sample net misstatement] [ Book value of sample ] X Book value of population = [ $350 ] X $200,000 [$60,000] = $1,167 Since the projected misstatement is only 11.7 percent ($1,167/$10,000) of tolerable misstatement, it is likely that the auditors would conclude that the account balance is materially correct. McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-22 PPS Sampling Illustration Population book value = $6,250,000 Other Information: Tolerable misstatement = $364,000 Sampling risk--Incorrect acceptance = 5% Expected misstatement = $50,000 Use Figures 9-14 and 9-15 to obtain a “reliability factor” and an “expansion factor.” McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-23 PPS Sample Size Computation Sample size = Recorded amount of population * Reliability factor Tolerable misstatement - (Expected misstatement * Expansion factor) = $6,250,000 * 3.0 $364,000 - ($50,000 * 1.6) = 66 Sampling interval = Book value of the population Sample size = $6,250,000 66 McGraw-Hill/Irwin = $95,000 (approximately) © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-24 PPS Evaluation of Results Upper Limit on misstatement = Projected misstatement + Basic precision (Rel. factor x interval) + Incremental allowance McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. 9-25 Calculation of Upper Limit on Misstatement McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved.