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Getting Started: Important Things to Learn First 1. Defining and Collecting Data 3. Numerical Descriptive Measures 4. Basic Probability 5. Discrete Probability Distributions 6. The Normal Distribution and Other Continuous Distributions 12. Chi-Square and Nonparametric Tests 13. Simple Linear Regression 14. Introduction to Multiple Regression 18. A Roadmap for Analyzing Data 19. Statistical Applications in Quality Management (online) 20. Decision Making (online) Table of Contents
2. Organizing and Visualizing Variables
7. Sampling Distributions
8. Confidence Interval Estimation
9. Fundamentals of Hypothesis Testing: One-Sample Tests
10. Two-Sample Tests
11. Analysis of Variance
15. Multiple Regression Model Building
16. Time-Series Forecasting
17. Business Analytics
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