This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.

For courses in Business Statistics.

A classic text for accuracy and statistical precision

Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions. In this regard, it emphasizes an understanding of the assumptions that are necessary for professional analysis. In particular, it has greatly expanded the number of applications that utilize data from applied policy and research settings.

The Ninth Edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. This revision recognizes the globalization of statistical study and in particular the global market for this book.

Pearson MyLab Business Statistics is not included. Students, if MyLab Business Statistics is a recommended / mandatory component of the course, please ask your instructor for the correct ISBN. MyLab Business Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

Reach every student by pairing this text with MyLab Statistics

MyLab(TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.

Autorentext

Bill Carlson is Professor of Economics and Department Chair ofthe Economics Department at St Olaf College, where he has taught for 29 years.His education includes engineering degrees from Michigan TechnologicalUniversity (BS) and Illinois Institute of Technology (MS) and a Ph.D. inQuantitative Management from the University of Michigan. His research includesnumerous studies related to highway safety, management problems, andstatistical education. He has previously published two statistics textbooks. Hehas led numerous student groups to study in various countries. He enjoysgrandchildren, woodworking, travel, reading, and being on assignment innorthern Wisconsin.

Betty Thorne. Author, researcher and award-winning teacher,Betty Thorne is Professor and Chair of the Department of Decision andInformation Sciences in the School of Business Administration at StetsonUniversity in DeLand, Florida. Winner of Stetson University's McEniry Award forExcellence in Teaching, the highest honor given to a Stetson University facultymember, Dr. Thorne also is the recipient of the Outstanding Teacher of the YearAward and Professor of the Year Award in the School of Business Administrationat Stetson. She received her Bachelor of Science degree from Geneva College andthe Master of Arts and Ph.D. degrees from Indiana University. She co-authored AppliedStatistical Methods for Business, Economics and the Social Sciences(Prentice Hall, 1997) with Bill Carlson. Dr. Thorne is a member of the planningcommittee and serves as Secretary/Treasurer of the Making Statistics MoreEffective in Schools and Business conferences where she meets annually withfellow statisticians to discuss research and teaching issues. She also is amember of Decision Sciences Institute, the American Society for Quality, andthe American Statistical Association.

She and her husband, Jim, have four children. They travel extensively, enjoycruising, attend theological classes, and participate in internationalorganizations dedicated to helping disadvantaged children.

Inhalt

• 1: Describing Data: Graphical
• 2: Describing Data: Numerical
• 3: Probability
• 4: Discrete Random Variables and Probability Distributions
• 5: Continuous Random Variables and Probability Distributions
• 6: Sampling and Sampling Distributions
• 7: Estimation: Single Population
• 8: Estimation: Additional Topics
• 9: Hypothesis Testing: Single Population
• 10: Hypothesis Testing: Additional Topics
• 11: Simple Regression
• 12: Multiple Regression
• 13: Additional Topics in Regression Analysis
• 14: Analysis of Categorical Data
• 15: Analysis of Variance
• 16: Time-Series Analysis and Forecasting
• 17: Additional Topics in Sampling