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This text employs the latest ideas in teaching business statistics and follows the philosophy espoused at the conference "Making Statistics More Effective in Schools of Business" (MSMESB). It emphasizes modern statistical methods and data analysis with a decreased emphasis on classical hypothesis testing and probability. It presents a problem-solving approach to the analysis of real data sets and procedures for data collection, design, and interpretation. It covers statistics in the context of the scientific method for problem recognition, problem formulation, and problem solving. Concrete examples of statistical techniques and computer use give students a practical framework of business statistics in practice.
List of contents
PART ONE: DATA COLLECTION
1. Data Analysis and Model Building: An Introduction
2. Plotting Process Data
3. Plotting Distributions
4. Summarizing Continuous Data
5. Describing Categorical Variables
6. Relating Continuous Variables
PART TWO: ELEMENTS OF MODELING
7. Straight Line Models
8. Multiple Regression Models
9. Normal Distributions
10. Control Charts for Continuous Variables
11. Binomial distributions
12. Control Charts for Binary Data
PART THREE: RANDOMIZED DATA COLLECTION AND INFERENCE
13. Data Collection Tools
14. Introduction to Surveys
15. Survey Designs
16. Reading the Results of a Survey
17. Significance Tests and Confidence Intervals
18. Completely Randomized and Randomized Block Designs and the Analysis of Variance
19. Factorial and Fractional Factorial Designs
PART FOUR: MODELING AND INFERENCE
20. Inference and Regression Models
21. Regression Diagnostics and Transformations
22. Regression Model Selection
23. Time Series Models
24. Seasonal Time Series Models
PART FIVE: STATISTICS AND ORGANIZATIONS
25. A Perspective on Statistics in Organization
Appendices / References / Glossary / Answers to Selected Exercises / Data Set Index / Index
Summary
This text employs the latest ideas in teaching business statistics and follows the philosophy espoused at the conference "Making Statistics More Effective in Schools of Business" (MSMESB). It emphasizes modern statistical methods and data analysis with a decreased emphasis on classical hypothesis testing and probability. It presents a problem-solving approach to the analysis of real data sets and procedures for data collection, design, and interpretation. It covers statistics in the context of the scientific method for problem recognition, problem formulation, and problem solving. Concrete examples of statistical techniques and computer use give students a practical framework of business statistics in practice.
