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Statistical Techniques for Forensic Accounting: Understanding the Theory and Application of Data Analysis
book

Statistical Techniques for Forensic Accounting: Understanding the Theory and Application of Data Analysis

by Saurav K. Dutta
June 2013
Beginner
288 pages
7h 42m
English
Pearson
Content preview from Statistical Techniques for Forensic Accounting: Understanding the Theory and Application of Data Analysis

10. Statistical Inference from Sample Information

It is a capital offense to theorize before one has the data.

—Sir Arthur Conan Doyle (Sherlock Holmes)

10.1. Introduction

Data-sets in accounting are extremely large, hence time and cost constraints make it impossible to test all the items. This requires the use of sampling. The process of appropriately selecting a sample was discussed in the previous chapter. When the sample is selected using a parametric or probabilistic approach, the results of the sample could be generalized to the population. This chapter discusses theory and methodology for these generalizations.

In most forensic accounting and auditing settings, a relevant sample of the population is selected and tested. The key metrics ...

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Publisher Resources

ISBN: 9780133133844Purchase book