Table of Contents

• Getting Started: Important Things to Learn 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
• 7. Sampling Distributions
• 8. Confidence Interval Estimation
• 9. Fundamentals of Hypothesis Testing: One Sample Tests 
• 10. Two-Sample Tests and One-Way ANOVA
• 11 Chi-Square and Nonparametric Tests 
• 12. Simple Linear Regression 
• 13.  Multiple Regression
• 14. Statistical Applications in Quality Management (online)
• 15. Model Building