AICPA Audit Guide / Audit Guide

The Role of Walk-throughs .25-.28 Determining the Method of Selecting the Sample .29-.36 Simple Random Sampling .30 Systematic Sampling .31-.32 Haphazard Sampling .33-.34 Block Sampling .35-.36 Determining the Sample Size .37-.65 Considering Sampling Risk in Assessing Controls Effectiveness .38-.45 Considering Other Evidence in Determining Risk of Concluding Controls Are More Effective Than They Actually Are (Overreliance) and Tolerable Rate of Deviation .46 Considering the Risk of Concluding Controls Are More Effective Than They Actually Are (Overreliance) for Multiple Controls Addressing the Same Control Objective .47 Determining the Tolerable Rate of Deviation .48-.54 Considering the Expected Population Deviation Rate .55-.58 Considering the Effect of Population Size .59-.61 Small Populations and Infrequently Operating Controls .62-.63 Considering a Sequential or a Fixed Sample Size Approach .64 Developing Sample Size Guidelines .65 Performing the Sampling Plan .66-.72 Voided Documents .67 Unused or Inapplicable Documents .68 Mistakes in Estimating Population Sequences .69-.70 Stopping the Test Before Completion .71 Inability to Examine Selected Items .72 Evaluating the Sample Results .73-.95 Calculating the Deviation Rate .74 Considering Sampling Risk .75-.79 Considering the Qualitative Aspects of the Deviations .80-.81 Extending the Sample When Control Deviations Are Found .82-.84 Assessing the Potential Magnitude of a Control Deficiency .85-.94 Reaching an Overall Conclusion .95 Documenting the Sampling Procedure .96-.98 4 Nonstatistical and Statistical Audit Sampling for Substantive Tests of Details .01-.108 Determining the Test Objectives .04-.05 Defining the Population .06-.12 Considering the Completeness of the Population .08-.10 Identifying Individually Significant Items .11-.12 Defining the Sampling Unit .13-.14 Choosing an Audit Sampling Technique .15-.16 Selecting the Sample .17-.22 Determining the Sample Size .23-.74 Considering Variation Within the Population .27-.32 Determining the Acceptable Level of Risk .33-.47 Considering Tolerable Misstatement .48-.49 Performance Materiality and Tolerable Misstatement .50-.59 Considering the Expected Amount of Misstatement .60-.61 Considering the Effect of Population Size .62 Relating the Factors to Determine the Sample Size .63-.74 Performing the Sampling Plan .75-.76 Evaluating the Sample Results .77-.104 Projecting the Misstatement to the Population .77-.89 The Sufficiency of Sampling Evidence for Proposing Adjustments .90 Negative Confirmations .91 Interim Sample Results .92 Considering Sampling Risk at the Test Level .93-.100 Misstatements Not Projected .101-.104 Documenting the Sampling Procedure .105-.108 5 Nonstatistical Sampling Case Study .01-.16 Determining the Sample Size .08-.11 Evaluating the Sample Results .12-.16 6 Monetary Unit Sampling .01-.63 Selecting a Statistical Approach .04-.08 Advantages .05-.06 Disadvantages .07-.08 Defining the Sampling Unit .09-.10 Selecting the Sample .11-.19 Determining the Sample Size .20-.31 Formula Method -- No Misstatements Expected .23-.25 Formula Method -- Some Misstatements Expected .26-.31 Evaluating the Sample Results .32-.52 Sample Evaluation With 100% Misstatements .35-.41 Sample Evaluation With Less Than 100% Misstatements .42-.48 Quantitative Considerations .49-.51 Qualitative Considerations .52 MUS Sampling Case Study .53-.63 Selecting the Sample .56-.58 Evaluating the Sample Results .59-.63 7 Classical Variables Sampling .01-.48 Selecting a Statistical Approach .03-.06 Advantages .04 Disadvantages .05-.06 Types of Classical Variables Sampling Techniques .07-.10 Mean-Per-Unit Approach .08 Difference Approach .09 Ratio Approach .10 Choosing a Classical Variables Sampling Approach .11-.15 The Ability to Design a Stratified Sample .12 The Expected Number of Differences Between the Audited and Recorded Amounts .13 Required Information .14-.15 Determining the Sample Size .16-.24 Considering Variation Within the Population .17-.19 Calculating the Sample Size .20-.24 Evaluating the Sample Results .25-.39 Classical Variables Sampling Case Study .40-.48 Appendix A Attributes Statistical Sampling Tables B Sequential Sampling for Tests of Controls C Monetary Unit Sampling Tables D Ratio of Desired Allowance for Sampling Risk of Incorrect Rejection to Tolerable Misstatement E Multilocation Sampling Considerations F Case Study Using Software to Plan and Evaluate a Classical Variables Sample G Glossary H Overview of Statements on Quality Control Standards I Schedule of Changes Made to the Text From the Previous Edition Index of Pronouncements andOther Technical Guidance Subject Index