Essentials of Statistics for Business and Economics (with XLSTAT Printed Access Card),
8th Edition

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. Inference about Means and Proportions with Two Populations.
11. Inferences about Population Variances.
12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit.
13. Experimental Design and Analysis of Variance.
14. Simple Linear Regression.
15. 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. (online)
Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis.
Appendix F: Computing p-Values Using Minitab and Excel.

• David R. Anderson

  David R. Anderson is a leading author and professor emeritus of quantitative analysis in the College of Business Administration at the University of Cincinnati. Dr. Anderson 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 taught graduate-level courses in regression analysis, multivariate analysis and management science. He also 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 he actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, Dr. Anderson earned his B.S., M.S. and Ph.D. degrees from Purdue University.

• Dennis J. Sweeney

  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 B.S.B.A. degree from Drake University and his M.B.A. and D.B.A. degrees from Indiana University, where he was an NDEA fellow. Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. He also served as head of the Department of Quantitative Analysis and served four years as associate dean of the College of Business Administration at the University of Cincinnati. Dr. 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 journals such as Management Science, Operations Research, Mathematical Programming and Decision Sciences. Dr. Sweeney has co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.

• Thomas A. Williams

  N/A

• Jeffrey D. Camm

  Jeffrey D. Camm is the Inmar Presidential Chair and senior associate dean of business analytics programs 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 been a visiting scholar at Stanford University and a visiting professor of business administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published more than 45 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in many professional journals, including Science, Management Science, Operations Research and the INFORMS Journal on Applied Analytics. 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, Dr. Camm has served as an operations research consultant to numerous companies and government agencies. From 2005 to 2010 he served as editor-in-chief of the INFORMS Journal on Applied Analytics (formerly 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

  James J. Cochran is associate dean for research, a 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 served as 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 50 papers in the development and application of operations research and statistical methods. He has published in numerous 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, INFORMS Journal on Applied Analytics, BMJ Global Health and Statistics and Probability Letters. Dr. Cochran received the 2008 INFORMS prize for the Teaching of Operations Research Practice, the 2010 Mu Sigma Rho Statistical Education Award and the 2016 Waller Distinguished Teaching Career Award from the American Statistical Association. Dr. Cochran was elected to the International Statistics Institute in 2005 and was named a fellow of the American Statistical Association in 2011 and a fellow of INFORMS in 2017. He also received the Founders Award in 2014 and the Karl E. Peace Award in 2015 from the American Statistical Association. In addition, he received 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 also served as an operations research or statistics consultant to numerous companies and not-for-profit organizations.

• EXPANDED COVERAGE ADDRESSES HOT TOPICS, INCLUDING DATA MINING AND BIG DATA. Several new sections now cover the topic of analytics. The authors also place greater emphasis on the distinction between observed and experimental data in this edition.

• MINDTAP COMPLETE DIGITAL SOLUTION NOW FEATURES ALL-NEW EXCEL ONLINE INTEGRATION. Students working with MINDTAP can now use Excel, powered by Microsoft®, for completing work in your business statistics course. These enhancements take students from learning basic statistical concepts to actively engaging in critical-thinking applications, while mastering valuable hands-on skills for future careers.

• MODERN, COMPREHENSIVE SOFTWARE IS INTEGRATED THROUGHOUT. Optional chapter appendices are now updated and expanded to address both Excel® 2016 and Minitab® 17. This coverage gives your students hands-on experience working with the current versions of two of the most commonly used software for statistical analysis in business.

• HELPFUL APPENDICES DETAIL HOW TO USE TOOLS WITHIN EXCELA primer appendix introduces Microsoft® Excel® 2016 and its tools for statistical analysis. Students learn to how to use the Ribbon, basic workbook operations, and functions for statistical analysis.

• COVERAGE INTEGRATES IMPORTANT BUSINESS ANALYTICS TOPICS. This edition addresses key business material that is not covered in any other single book, including data mining, data visualization, analytics and data dashboards.

• STEP-BY-STEP INSTRUCTIONS GUIDE STUDENTS THROUGH USING THE LATEST SOFTWARE TOOLS. Students master the skills how to use various software to perform the analyses discussed in the book as they work with Excel® 2016 and Minitab® 17.

• COMPREHENSIVE, MODERN COVERAGE ADDRESSES THE LATEST DEVELOPMENTS IN THE FIELD. Demonstrating the myriad uses of statistics in business and economics, this edition’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.

• UNIQUE PROBLEM-SCENARIO APPROACH ENSURES STUDENT COMPREHENSION. 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.

• REAL-WORLD PROBLEMS AND APPLICATIONS KEEP STUDENTS ENGAGED AND ACTIVELY LEARNING. Methods, applications, and self-test exercises allow students to develop analytical skills by using formulas, making computations, and applying chapter material to realistic situations. Students evaluate their understanding of key concepts against solutions to exercises in a special appendix.

• CENGAGENOW™ ONLINE COURSE MANAGEMENT SYSTEM ALLOWS YOU TO PERSONALIZE INSTRUCTION IN LESS TIME. This online tool 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 and reviewed by subject matter experts 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.

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.

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