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Audit Guide: Sampling 2019

Audit Guide: Sampling 2019

  • Author:
  • Publisher: John Wiley & Sons_
  • ISBN: 9781950688333
  • Published In: May 2020
  • Format: Paperback , 208 pages
  • Jurisdiction: U.S. ? Disclaimer:
    Countri(es) stated herein are used as reference only
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  • Description 
  • Contents 
  • Author 
  • Details

    Updated as of December 1, 2019, this guide continues to be an indispensable resource packed with information on sampling requirements and methods. It introduces statistical and nonstatistical sampling approaches, and features case studies illustrating the use of different sampling methods, including classical variables sampling and monetary unit sampling, in real-world situations.

  • Introduction .1-.22

    The Development of Audit Sampling .1-.11

    The Significance of Audit Sampling .12

    The Purpose of This Guide .13-.20

    Audit Sampling Guidance for Compliance Audits .21-.22

    1 Characteristics of Audit Sampling .01-.29

    Audit Sampling Defined .04-.05

    Procedures That May Not Involve Audit Sampling .06-.20

    Inquiry and Observation .07

    Analytical Procedures .08-.09

    Procedures Applied to Every Item in a Population .10-.12

    Some Tests of Controls May Not Involve Audit Sampling .13-.14

    Tests of Controls When Extrapolation is Not Intended .15

    Procedures That Do Not Evaluate Characteristics .16-.17

    Untested Balances .18

    Tests of Automated IT Controls .19-.20

    Sampling and Nonsampling Audit Procedures Distinguished .21-.25

    Terminology Used in This Guide .26-.29

    Reliability or Confidence Level .27

    Sampling Risk .28

    Precision .29

    2 The Audit Sampling Process .01-.55

    Purpose and Nature of Audit Sampling .02

    How Audit Sampling Differs From Sampling in Other Professions .03-.06

    Evaluation of Audit Samples .07

    Types of Audit Tests .08-.14

    Tests of Controls .09-.10

    Substantive Procedures .11

    Dual-Purpose Tests .12-.14

    Risk .15-.21

    Sampling Risk .19

    Nonsampling Risk .20-.21

    Nonstatistical and Statistical Sampling .22-.29

    Planning the Audit Sampling Procedures .30-.34

    Types of Statistical Sampling Plans .35-.43

    Attributes Sampling .35-.37

    Variables Sampling .38-.41

    Relating Balance Sheet and Income Statement Sampling .42-.43

    General Implementation Considerations .44-.55

    Continuing Professional Education .45-.48

    Sampling Guidelines .49

    Use of Specialists .50-.51

    Supervision and Review .52-.55

    3 Nonstatistical and Statistical Audit Sampling in Tests of Controls .01-.98

    Determining the Test Objectives .02-.05

    Defining the Deviation Conditions .06

    Defining the Population .07-.10

    Defining the Period Covered by the Test .11-.21

    Initial Testing .14

    Estimating Population Characteristics .15-.17

    Considering the Completeness of the Population .18-.21

    Defining the Sampling Unit .22-.24

    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

  • The American Institute of CPAs (AICPA) is the world's largest member association representing the CPA profession, with more than 429,000 members in the United States and worldwide, and a history of serving the public interest since 1887. AICPA members represent many areas of practice, including business and industry, public practice, government, education, and consulting. The AICPA sets ethical standards for its members and U.S. auditing standards for private companies, nonprofit organizations, federal, state and local governments. It develops and grades the Uniform CPA examination, offers specialized credentials, builds the pipeline of future talent and drives professional competency development to advance the vitality, relevance and quality of the procession.

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