Statistics for business: decision making and analysis
- 3rd
- Noida Pearson India Education Services Pvt. Ltd. 2022
- xxii, 830 p.
Table of Content I. Variation
1. Introduction 2. Data 3. Describing Categorical Data 4. Describing Numerical Data 5. Association Between Categorical Variables 6. Association Between Quantitative Variables
II. Probability
7. Probability 8. Conditional Probability 9. Random Variables 10. Association Between Random Variables 11. Probability Models for Counts 12. The Normal Probability Model
III. Inference
13. Samples and Surveys 14. Sampling Variation and Quality 15. Confidence Intervals 16. Statistical Tests 17. Comparison 18. Inference for Counts
IV. Regression Models
19. Linear Patterns 20. Curved Patterns 21. The Simple Regression Model 22. Regression Diagnostics 23. Multiple Regression 24. Building Regression Models 25. Categorical Explanatory Variables 26. Analysis of Variance 27. Time Series
The 3rd Edition of Statistics for Business: Decision Making and Analysis emphasizes an application-based approach, in which students learn how to work with data to make decisions. In this contemporary presentation of business statistics, students learn how to approach business decisions through a 4M Analytics decision making strategy-motivation, method, mechanics and message-to better understand how a business context motivates the statistical process and how the results inform a course of action. Each chapter includes hints on using Excel, Minitab Express, and JMP for calculations, pointing the student in the right direction to get started with analysis of data.
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