Business statistics : a first course

著者

書誌事項

Business statistics : a first course

David M. Levine, Kathryn A. Szabat, David F. Stephan

Pearson, c2016

7th ed

  • : [pbk.]

大学図書館所蔵 件 / 5

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注記

"Pearson, always learning is an exclusive trademark ..."--T.p. verso

"Always learning"--P. [4] of cover

Includes index

内容説明・目次

内容説明

NOTE: You are purchasing a standalone product; MyStatLab does not come packaged with this content. If you would like to purchase both the physical text and MyStatLab search for ISBN-10: 0133956482/ISBN-13: 9780133956481 . That package includes ISBN-10: 0321847997/ISBN-13: 9780321847997, ISBN-10: 032184839X/ISBN-13: 9780321848390, and ISBN-10: 032197901X//ISBN-13: 9780321979018. For one-semester business statistics courses. 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. Personalize learning with MyStatLab MyStatLab provides users with countless opportunities to practice, plus statistics-specific resources and tools that enhance students' experience and comprehension.

目次

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 11Chi-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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