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Seminar paper from the year 2016 in the subject Business economics - Revision, Auditing, University of Duisburg-Essen (Auditing, Accounting and Controlling), course: Case Study Seminar on Auditing, language: English, abstract: The rapid growth of American companies at the beginning of the twentieth century resulted in a high demand for audits which are based on selected tests of items that represent the account balances or classes of transaction. Some auditors used to include every transaction from the respective period into the examination. However, some groups of auditors begin to develop methods to apply statistical sampling in auditing processes during the 1950s. This paper is structured as follows: in the main part, audit sampling and relevant terms are discussed. Representativeness of the sample is mentioned, which is significant aspect to make proper conclusions in respect to the population. The different types of generating population and their advantages for sampling. Furthermore, different sampling methods with each other compared, and the advantages and disadvantages of sample selection methods are discussed. In the third part, the main parameters of audit sampling are discussed in detail and their effects on the sample size and overall audit process are mentioned. In the fourth part, MUS system and its benefits and restrictions are clarified. The fifth part summarizes and concludes with the help of the Excel sample.
Considered the industry-standard resource and updated as of March 1, 2014, the Audit Sampling Guide summarizes applicable requirements and practices, and delivers “how-to” advice to help auditors apply nonstatistical and statistical sampling. The guide includes case studies illustrating the use of different sampling methods, including classical variables sampling and monetary unit sampling, in real world situations. New in 2014, a detailed case study of the application of classical variables sampling with the use of software has been included as an appendix. The appendices also include sampling tables and similar tools, as well as other sampling considerations. Packed with information on sampling requirements and sampling methods, this Guide is an indispensable resource.
The easy way to master the art of auditing Want to be an auditor and need to hone your investigating skills? Look no further. This friendly guide gives you an easy-to-understand explanation of auditing — from gathering financial statements and accounting information to analyzing a client's financial position. Packed with examples, it gives you everything you need to ace an auditing course and begin a career today. Auditing 101 — get a crash course in the world of auditing and a description of the types of tasks you'll be expected to perform during a typical day on the job It's risky business — find out about audit risk and arm yourself with the know-how to collect the right type of evidence to support your decisions Auditing in the real world — dig into tons of sample business records to perform your first audit Focus on finances — learn how both ends of the financial equation — balance sheet and income statement — need to be presented on your client's financial statements Seal the deal — get the lowdown on how to wrap up your audit and write your opinion After the audit — see the types of additional services that may be asked of you after you've issued your professional opinion
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.
This text covers the responsibilities, functions and qualities of the independent auditor, the audit process and reporting. Topics examined include assertions in financial statements, audit evidence, audit planning, specific control problems and audit sampling.
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: ¢ select a suitable, practical sampling approach ¢ appreciate the statistical implications ¢ evaluate the results of audit testing ¢ 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.
This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include: More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available. An emphasis on survey design. Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis. Graphing data from surveys. Computer code using SAS® software. Online supplements containing data sets, computer programs, and additional material. Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com.
This handbook aims to show the modern internal auditor how to do the best job possible. E×amining all aspects of the internal auditor's function, the author looks at how to plan, organize and perform the audit, showing how to control internal audit projects and how to report results efficiently. This edition features e×panded coverage of fraud, business ethics and the role of the internal auditor, and incorporates all aspects of COSO (Committee of Sponsoring Organisations of the Treadway Commission) recommendations.