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Let’s Get Started: Big Things to Know First 1. Defining and Collecting Data 2. Organizing and Visualizing Data 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. A Roadmap for Analyzing Data 18. Statistical Applications in Quality Management (online) 19. Decision Making Table of Contents
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