Statistics for Business & Economics (with XLSTAT Education Edition Printed Access Card),
13th Edition

Preface.
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.
16. Regression Analysis: Model Building.
17. Time Series Analysis and Forecasting.
18. Nonparametric Methods.
19. Statistical Methods for Quality Control.
20. Index Numbers.
21. Decision Analysis (online).
22. Sample Survey (online).
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.
Index.

• 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.

• REVISED APPROACH TO CALCULATING PERCENTILES. Chapter 3, Descriptive Statistics: Numerical Measures, now uses the approach recommended by the National Institute of Standards and Technology (NIST) and also used by a wide variety of software. In addition, the NIST-recommended approach for calculating percentiles is integrated throughout the textbook wherever percentiles are used (for example, when creating a box plot or when calculating quantiles or an interquartile range).

• MINDTAP PROVIDES STUDENTS WITH TOOLS FOR BETTER TIME MANAGEMENT. Students can complete assignments whenever and wherever they are ready to learn with course material specially customized by you and streamlined in one proven, easy-to-use interface. MINDTAP gives students a roadmap to master decision-making in business statistics. Its vast array of resources, tools, and apps -- including all new Excel Online activities powered by Microsoft, new Exploring Statistics interactive visualizations, problem-solving videos, animated examples and practice opportunities, Interpreting the Results assignments note taking, and flashcards -- ensures learners have everything they need to maximize course success.

• UPDATED APPENDICES INCLUDE THE LATEST SOFTWARE. All step-by-step instructions in the software appendices and all textbook figures featuring software output have been updated to reflect Excel 2013 and Minitab 17. This equips students with exposure to and hands-on experience with the current versions of two of the most commonly used software for statistical analysis in business.

• XLSTAT Education Edition. Every new copy of the text now comes with free access to XLSTAT Education Edition. Available on Cengagebrain.com, XLSTAT Education Edition offers a powerful data analysis option for Excel that includes all of the necessary support for introductory business statistics courses. XLSTAT is available for Office for Windows or Office for Mac based on the user’s needs!

• Unparalleled Software Options. Bundle options in support of popular statistics software packages are now available that include the latest versions of Minitab 17 and Minitab Express (Minitab Express is a new introductory statistics package that supports Mac computers), JMP, and SPSS. ‘Tip Sheets’ offer resources that include step-by-step instructions with screenshots that walk students through the software. The text DATAfiles are available in .csv format for easy import into these popular software packages. Contact your Cengage representative for ordering information!

• TWO ALL-NEW CASE PROBLEMS. A new probability modeling case has been added to Chapter 5, while a new simple linear regression case appears in Chapter 14. The 33 case problems in this book provide students the opportunity to put what they’ve learned into action by working on more complex problems, analyzing larger data sets, and preparing managerial reports based on the results of their analyses.

• NEW EXAMPLES BASED ON REAL DATA. Bringing statistical concepts to life, more than 180 new examples and exercises reflect real data and referenced sources. Data from sources used by THE WALL STREET JOURNAL, USA TODAY, BARRON’S, and others draw from actual studies and applications to develop explanations and create exercises that demonstrate the many uses of statistics in business and economics. The 13th edition contains upwards of 350 examples and exercises based on real data.

• TRUSTED TEAM OF DISTINGUISHED AUTHORS ENSURES THE MOST ACCURATE, PROVEN PRESENTATION. Prominent leaders and active consultants in business and statistics, authors David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, and James J. Cochran deliver an accurate, real-world presentation of statistical concepts you can trust with every edition.

• LEADING PROBLEM-SCENARIO APPROACH HELPS STUDENTS EASILY UNDERSTAND AND APPLY CONCEPTS. A hallmark strength of this text is its unique approach that ensures students fully comprehend statistical techniques within an applications setting. The statistical results provide insights into business decisions and detail how statistics are used within real-world practice to solve problems.

• SYSTEMATIC APPROACH EMPHASIZES PROVEN METHODS AND APPLICATIONS. Students first develop a computational foundation and thoroughly learn the use of techniques before moving to statistical application and interpretation of the value of techniques. Methods Exercises at the end of each section stress computation and use of formulas, while Application Exercises require students to apply what they know about statistics to real-world problems.

• USE OF CUMULATIVE STANDARD NORMAL DISTRIBUTION TABLE PREPARES STUDENTS TO WORK WITH STATISTICAL SOFTWARE. To more effectively prepare students to readily use computer software in statistics, the text incorporates a normal probability table consistent with today’s statistical software. This cumulative normal probability table also makes it easier to compute p-values for hypothesis testing.

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