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Statistical Sampling and Risk Analysis in Auditing

Statistical Sampling and Risk Analysis in Auditing

by Peter Jones
Paperback
Publication Date: 30/04/2017

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This book is aimed at those with responsibilities for audit, risk and control - auditors of course - but also finance directors, audit committee members, project accountants, systems designers and other professionals too. Working under pressure, these people often need to take account of theory and best practice but strike a balance with the practical demands of their workplace. This book's practical emphasis on meeting the ever-changing needs of clients and auditees will benefit a wide audience by helping readers to: c select a suitable, practical sampling approach c appreciate the statistical implications c evaluate the results of audit testing c take account of risk and control evaluation in targeting valuable audit resources. It does this by laying out the principles behind a concept and then grounding them in 'real life' cases for the reader to work through. These are accompanied by suggested solutions which, while not definitive answers, do provide valuable advice and guidance. Finally the range of appendices, including a complete copy of the statement of auditing standards, SAS 430, make this book an essential resource for everyone concerned about modern auditing.
ISBN:
9781138263215
9781138263215
Category:
Management accounting & bookkeeping
Format:
Paperback
Publication Date:
30-04-2017
Publisher:
Taylor & Francis Ltd
Country of origin:
United Kingdom
Pages:
182
Dimensions (mm):
234x156mm
Weight:
0.45kg
Peter Jones

Peter Jones was educated at Cambridge University and taught Classics at Cambridge and at Newcastle University, before retiring in 1997.

He has written a regular column, 'Ancient & Modern', in the Spectator for many years and is the author of various books on the Classics, including the bestselling Learn Latin and Learn Ancient Greek, as well as Reading Virgil's Aeneid I and II, Vote for Caesar, Veni, Vidi, Vici, Eureka! and Quid Pro Quo.

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