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Solution manual for Basic Business Statistics Concepts and Applications 14th Edition by Mark Berenso 9780134685090 0134685091

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• ISBN 10: 0134685091

• ISBN 13:9780134685090

• Author:Mark Berenso 

 Basic Business Statistics: Concepts and Applications

For one- or-two-semester courses in business statistics.   Give students the statistical foundation to hone their analysis skills for real-world decisions Basic Business Statistics helps students see the essential role that statistics will play in their future careers by using examples drawn from all functional areas of real-world business. Guided by principles set forth by ASA’s Guidelines for Assessment and Instruction (GAISE) reports and the authors’ diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. The 14th Edition includes new and updated resources and tools to enhance students’ understanding, and provides the best framework for learning statistical concepts. Also available with MyLab Business Statistics By combining trusted authors’ content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.    Note: You are purchasing a standalone product; MyLab Business Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information

Basic Business Statistics Concepts and Applications 14th Table of contents:

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 and Other Continuous Distributions

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)

 

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