Last edition Elsevier Statistics is essential for all business majors, and this text helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by principles set by major statistical and business science associations (ASA and DSI), plus the authors’ diverse experiences, the Seventh Edition of Levine/Szabat/Stephan’s Business Statistics: A First Course continues to innovate and improve the way this course is taught to all students. This brief version, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series.
Previous Edition
ISBN 13: 9781292096056
Imprint: Pearson Education Limited
Language: English
Authors: David M. Levine
Pub Date: 08/2016
Pages: 680
Illus: Illustrated
Weight: 1,200.00 grams
Size: h 218 x 275 mm
Product Type: Softcover
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- • Many new applied examples and problems appear throughout the text, often with revised data. The end-of-section and end-of-chapter problem sets contain many new problems that use data from recent news publications.
- • Many of the end-of-chapter cases are new and recur throughout the book. o The CardioGood Fitness case concerns analysis of sales and marketing data for home fitness equipment. o The Sure Value Convenience Stores case concerns pricing decisions made by a retailer.
- • Getting Started: Things to Learn First. This new chapter addresses the challenge of students coming to the course with varied statistical backgrounds, sets the context for the course, and ensures that the class starts on the same page.
- • The revised DCOVA framework (Define, Collect, Organize, Visualize, and Analyze) is used throughout this text as an integrated approach for applying statistics to help solve business problems.
- David M. Levine, MD, Professor at Johns Hopkins Bloomberg School of Public Health.
- Getting Started: Important Things to Learn First
- 1. Defining and Collecting Data
- 2. Organizing and Visualizing Data
- 3. Numerical Descriptive Measures
- 4. Basic Probability
- 5. Discrete Probability Distributions
- 6. The Normal Distribution
- 7. Sampling Distributions
- 8. Confidence Interval Estimation
- 9. Fundamentals of Hypothesis Testing: One Sample Tests
- 10. Two-Sample Tests and One-Way ANOVA
- 11. Chi-Square and Nonparametric Tests
- 12. Simple Linear Regression
- 13. Multiple Regression
- 14. Statistical Applications in Quality Management (online)
- 15. Model Building
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