Business Statistics: A First Course 8th Edition , 2020 Edition ,David M. Levine , Kathryn A. Szabat, David F. Stephan, Test bank and Solution manual

Business Statistics: A First Course 8th Edition , 2020 Edition ,David M. Levine , Kathryn A. Szabat, David F. Stephan, Test bank and Solution manual
Business Statistics A First Course, 8th Edition David M. Levine , Kathryn A. Szabat, David F. Stephan, Test bank and Solution manual

Business Statistics: A First Course, 8th Edition , 2020 Edition , David M. Levine , Kathryn A. Szabat, David F. Stephan, Test bank and Solution manual

 

Product details:

  • ISBN-13: 978-0135177785
  • ISBN-10: 0135177782
  • Author: David M. Levine , Kathryn A. Szabat, David F. Stephan
  • Publisher: Pearson; 8 edition 

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Table of Contents

First Things First

1. Defining and Collecting Data

2. Organizing and Visualizing Variables

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

11. Analysis of Variance

12. Chi-Square and Nonparametric Tests

13. Simple Linear Regression

14. Introduction to Multiple Regression

15. Multiple Regression Model Building

16. Time-Series Forecasting

17. Business Analytics

18. Getting Ready to Analyze Data in the Future

19. Statistical Applications in Quality Management (online)

20. Decision Making (online)

Self-Test Solutions and Answers to Selected Even-Numbered Problems

 

 

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overview 

 

Statistics is essential for all business majors, and Business Statistics: A First Course helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by the principles set forth by major statistical and business science associations (ASA and DSI), plus the authors’ diverse experiences, the 8th Edition continues to innovate and improve the way this course is taught to all students. With new examples, case scenarios, and problems, the text continues its tradition of focusing on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to data-informed decision making. The authors feel that this approach, rather than a focus on manual calculations, better serves students in their future careers. This brief offering, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series.

 

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