A classic text for accuracy and statistical precision.
Statistics for Business and Economics enables readers 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 readers with the knowledge they need to become stronger analysts for future managerial positions.
The eighth edition of this book has been revised and updated to provide readers with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.
- Describing Data: Graphical
- Describing Data: Numerical
- Probability
- Discrete Random Variables and Probability Distributions
- Continuous Random Variables and Probability Distributions
- Sampling and Sampling Distributions
- Estimation: Single Population
- Estimation: Additional Topics
- Hypothesis Testing: Single Population
- Hypothesis Testing: Additional Topics
- Simple Regression
- Multiple Regression
- Additional Topics in Regression Analysis
- Analysis of Categorical Data
- Analysis of Variance
- Time-Series Analysis and Forecasting
- Additional Topics in Sampling
- Data Sets: A number of large data sets containing Taiwan's real estate measures, automobile fuel consumption, health data, the HEI Cost Data Variable Subset (which Includes the Healthy Eating Index, a measure of diet quality developed by the Economic Research Service and computed for each individual in the survey), New York's air quality index, and more are described in detail at the end of the chapters where they are used in exercises and case studies.
- Applying Concepts: It is important for students to know statistical concepts and apply those to different situations they face everyday or will face as managers of the future. To aid their understanding,
- Examples have been added to almost all sections that illustrate the application of the concepts or methods of that section to a real-world context (even though the company or organisation may be hypothetical).
- Problems are structured to present the perspective of a decision maker and the analysis provided is to help understand the use of statistics in a practical way.
- Case Studies. Several case studies provide students with the opportunity to extend their statistical understanding to the context of research and analysis conducted by professionals.
- Addition of large databases developed by global public research agencies, businesses, and databases from the authors' own works.
- An extensive number of new end-of-section or end-of-chapter problems.
- Addition of a number of case studies, with both large and small sample sizes. Students are provided the opportunity to extend their statistical understanding to the context of research and analysis conducted by professionals. These studies include data files obtained from on-going research studies, which reduce for the student, the extensive work load of data collection and refinement, thus providing an emphasis on question formulation, analysis, and reporting of results.
- Careful revision of text and symbolic language to ensure consistent terms and definitions and to remove errors that accumulated from previous revisions and production problems.
- Major revision of the discussion of Time Series both in terms of describing historical patterns and in the focus on identifying the underlying structure and introductory forecasting methods.
- Integration of the text material, data sets, and exercises into new online applications including MyLab Statistics.
- Expansion of descriptive statistics to include percentiles, z-scores, and alternative formulae to compute the sample variance and sample standard deviation.
- Addition of a significant number of new examples based on real world data.
- Greater emphasis on the assumptions being made when conducting various statistical procedures.
- More detailed business-oriented examples and exercises incorporated in the analysis of statistics.
- Improved chapter introductions that include business examples discussed in the chapter.
- Good range of difficulty in the section ending exercises that permit the professor to tailor the difficulty level to his or her course.
- Improved suitability for both introductory and advanced statistics courses for undergraduate and graduate students.
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Biographical note
Dr. Bill Carlson is professor emeritus of economics at St. Olaf College, where he taught for 31 years, serving several times as department chair and in various administrative functions, including director of academic computing. He has also held leave assignments with the U.S. government and the University of Minnesota in addition to lecturing at many different universities. He was elected an honorary member of Phi Beta Kappa. In addition, he spent 10 years in private industry and contract research prior to beginning his career at St. Olaf. His education includes engineering degrees from Michigan Technological University (BS) and from the Illinois Institute of Technology (MS) and a PhD in quantitative management from the Rackham Graduate School at the University of Michigan. Numerous research projects related to management, highway safety, and statistical education have produced more than50 publications. He received the Metropolitan Insurance Award of Merit for Safety Research. He has previously published two statistics textbooks. An important goal of this book is to help students understand the forest and not be lost in the trees. Hiking the Lake Superior trail in Northern Minnesota helps in developing this goal. Professor Carlson led several study-abroad programs, ranging from 1 to 5 months, for study in various countries around the world. He was the executive director of the Cannon Valley Elder Collegium and a regular volunteer for a number of community activities. He is a member of both the Methodist and Lutheran disaster-relief teams and a regular participant in the local Habitat for Humanity building team. He enjoys his grandchildren, woodworking, travel, reading, and being on assignment on the North Shore of Lake Superior.
Dr. Betty M. Thorne, author, researcher, and award-winning teacher, is a professor of statistics in the School of Business Administration at Stetson University in DeLand, Florida. Winner of Stetson University’s McEniry Award for Excellence in Teaching, the highest honor given to a Stetson University faculty member, Dr. Thorne is also the recipient of the Outstanding Teacher of the Year Award and Professor of the Year Award in the School of Business Administration at Stetson. Dr. Thorne teaches in Stetson University’s undergraduate business program in DeLand, Florida, and also in Stetson’s summer program in Innsbruck, Austria; Stetson University’s College of Law; Stetson University’s Executive MBA program; and Stetson University’s Executive Passport program. Dr. Thorne has received various teaching awards in the JD/MBA program at Stetson’s College of Law” in Gulfport, Florida. She received her BS degree from Geneva College and MA and PhD degrees from Indiana University. She has co-authored statistics textbooks which have been translated into several languages and adopted by universities, nationally and internationally. She serves on key school and university committees. Dr. Thorne, whose research has been published in various refereed journals, is a member of the American Statistical Association, the Decision Science Institute, Beta Alpha Psi, Beta Gamma Sigma, and the Academy of International Business. She and her husband, Jim, have four children. They travel extensively, attend theological conferences and seminars, participate in international organizations dedicated to helping disadvantaged children, and do missionary work in Romania.