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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

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