Business statistics : a first course
著者
書誌事項
Business statistics : a first course
Pearson Education, c2016
7th ed., global ed
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注記
"Authorized adaptation from the United States edition, entitled Business statistics : a first course, 7th edition, ISBN 978-0-321-97901-8 by David M. Levine, Kathryn A. Szabat, and David F. Stephan, published by Pearson Education c2016"--T.p. verso
"Always learning"--Cover
Includes bibliographical references and index
内容説明・目次
内容説明
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. MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
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
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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