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Essentials of Statistics for Business and Economics,
7th Edition

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran

ISBN-13: 9781133629658 | ISBN-10: 1133629652

Copyright 2015

| Published 2014

| 752 pages

List Price USD $324.95

Overview

Best-selling ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 7th Edition gives you a solid foundation in statistical methodologies with the author's signature problem-scenario approach and clear writing style. Streamlined to focus on core topics, this edition includes new case problems, methods, applications, and self-test exercises to help you master key formulas and apply statistical methods to inform your business decision-making from a quantitative perspective.

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Meet the Authors

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Dr. David R. Anderson is a leading author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the college’s first Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Dr. Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the co-author of ten well-respected textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his B.S., M.S., and Ph.D. degrees from Purdue University.

Dennis J. Sweeney is Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned a BSBA degree from Drake University and his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Professor Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published more than 30 articles and monographs in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger and Cincinnati Gas & Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences and other journals. Professor Sweeney has co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.

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Dr. Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Business Analytics in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University (Ohio) and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, he served on the faculty of the University of Cincinnati. He has also served as a visiting scholar at Stanford University and as a visiting Professor of Business Administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published more than 40 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in numerous professional journals, including Science, Management Science, Operations Research and Interfaces. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati and he was the 2006 recipient of the INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as an operations research consultant to numerous companies and government agencies. From 2005 to 2010 he served as editor-in-chief of Interfaces. In 2016, Dr. Camm received the George E. Kimball Medal for service to the operations research profession and in 2017 he was named an INFORMS Fellow.

James J. Cochran is Associate Dean for Research, Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow at The University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S., and M.B.A. from Wright State University and his Ph.D. from the University of Cincinnati. He has been at The University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa and Pole Universitaire Leonard de Vinci. Dr. Cochran has published more than 40 papers in the development and application of operations research and statistical methods. He has published in several journals, including Management Science, The American Statistician, Communications in Statistics—Theory and Methods, Annals of Operations Research, European Journal of Operational Research, Journal of Combinatorial Optimization, Interfaces and Statistics and Probability Letters. He received the 2008 INFORMS Prize for the Teaching of Operations Research Practice, 2010 Mu Sigma Rho Statistical Education Award and 2016 Waller Distinguished Teaching Career Award from the American Statistical Association. Dr. Cochran was elected to the International Statistics Institute in 2005, was named a Fellow of the American Statistical Association in 2011 and was named a Fellow of INFORMS in 2017. He received the Founders Award in 2014, the Karl E. Peace Award in 2015 from the American Statistical Association and the INFORMS President’s Award in 2019. A strong advocate for effective operations research and statistics education as a means of improving the quality of applications to real problems, Dr. Cochran has chaired teaching effectiveness workshops around the globe. He has served as operations research consultant to numerous companies and not-for-profit organizations.

  • Strong orientation toward visual presentation of data and results.
  • Integration of several important business analytics topics not covered by any other single book, including data mining, data visualization, and data dashboards.
  • Approximately 200 new examples and exercises based on real data and referenced sources have been added to this edition. Using data from world-class sources like the Wall Street Journal, USA Today, and Barron's helps students master statistical methods and apply real data to common business problems, while extensive margin notes and comments highlight key points for simple, efficient review.
  • Chapter appendices have been updated to cover use of Excel 2013.
  • Seven new case problems have been added to this edition for a total of 25 cases.
  • Integration of several important business analytics topics that are not covered by any other single book, including data mining, data visualization, and data dashboards.
  • Optional Support Materials: The CengageNOW™ online course management system helps you plan your course, manage and automatically grade assignments, prepare and teach lessons, create tests, and provide personalized study plans for each student. A Solutions Manual written by the text's authors provides step-by-step solutions for exercises, including detailed explanations of the role of cumulative normal distribution and p-values, to help make lecture preparation effortless.
  • Modern, Comprehensive Software Integration: Optional chapter appendices have been updated and expanded to include Excel® 2013, Minitab® 16, and StatTools®.
  • Unique Problem-Scenario Approach: Students discuss and develop their understanding of each statistical concept by applying techniques to exercises designed to generate a solution (or recommendation), and illustrate the value of statistics in business decision-making.
  • Useful Cumulative Standard Normal Distribution Table: This key graphic prepares students to use computer software in statistics by introducing normal distribution probabilities, and helping first-time users calculate normal probability and p-values for hypothesis testing.
  • Comprehensive, Modern Coverage: Demonstrating the myriad uses of statistics in business and economics, the text's examples and exercises incorporate the most current data, recent studies, and reliable sources of statistical information available, such as the Wall Street Journal, USA Today, Barron's, and others.
  • Effective Exercises and Examples: Abundant data from world-class sources like the Wall Street Journal, USA Today, and Barron's helps students master statistical methods and apply real data to common business problems, while extensive margin notes and comments highlight key points for simple, efficient review.
  • Step-by-step instructions on how to use various software to perform the analyses discussed in the book-- Excel® 2013, Minitab® 16, and StatTools®.
  • Helpful Appendices: A primer appendix introduces Microsoft® Excel® 2013 and its tools for statistical analysis, and includes the Ribbon, basic workbook operations, and functions for statistical analysis, along with instructions for installing the text's optional Excel® data analysis add-in and optional CengageNOW™ learning tool. Appendix 1 includes steps for downloading StatTools®, an optional, commercial Excel® add-in that students will likely encounter in the workplace. Most chapters also include an appendix outlining statistical procedures using StatTools®.
  • Real-World Problems and Application: Methods, Application, and Self-Test Exercises allow students to develop analytical skills by using formulas, making computations, applying chapter material to realistic situations, and evaluating their understanding of key concepts against solutions to exercises in a special appendix.

Table of Contents

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1. Data and Statistics.
2. Descriptive Statistics: Tabular and Graphical Displays.
3. Descriptive Statistics: Numerical Measures.
4. Introduction to Probability.
5. Discrete Probability Distributions.
6. Continuous Probability Distributions.
7. Sampling and Sampling Distributions.
8. Interval Estimation.
9. Hypothesis Tests.
10. Comparisons Involving Means, Experimental Design, and Analysis of Variance.
11. Comparisons Involving Proportions and a Test of Independence.
12. Simple Linear Regression.
13. Multiple Regression.
Appendix A. References and Bibliography.
Appendix B. Tables.
Appendix C. Summation Notation.
Appendix D. Self-Test Solutions and Answers to Even-Numbered Exercises.
Appendix E. Microsoft Excel 2013 and Tools for Statistical Analysis.
Appendix F. Computing p-Values Using Minitab and Excel.

Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

Website for Anderson/Sweeney/Williams' Essentials of Statistics for Business and Economics, 7th

ISBN13:9781285437804
ISBN10:1285437802
Website

Solutions Manual for Anderson/Sweeney/Williams/Camm/Cochran's Essentials of Statistics for Business and Economics, 7th

ISBN13:9781285439556
ISBN10:1285439554
Prepared by the text's authors, the Solutions Manual includes solutions to all problems in the text, and has been thoroughly updated to correspond with the newly revised 6th edition. For your convenience, this edition shows the exercise solution steps using the cumulative normal distribution, and offers more details about how to compute p-values.

Cengage Testing, powered by Cognero® for Anderson/Sweeney/Williams' Essentials of Statistics for Business and Economics

ISBN13:9781305104471
ISBN10:1305104471

Cengage Testing, powered by Cognero® for Anderson/Sweeney/Williams' Essentials of Statistics for Business and Economics, Instant Access

ISBN13:9781305104488
ISBN10:130510448X
Cengage Learning Testing, powered by Cognero Instant Access

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Essentials of Statistics for Business and Economics

  • ISBN-10: 1133629652
  • ISBN-13: 9781133629658

Price USD$ 324.95

eBook: Essentials of Statistics for Business and Economics 12Months

  • ISBN-10: 8000005824
  • ISBN-13: 9788000005829

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