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Table of Content | Table of Contents1. Introduction to Data 2. Picturing Variation with Graphs 3. Numerical Summaries of Center and Variation 4. Regression Analysis: Exploring Associations between Variables 5. Modeling Variation with Probability 6. Modeling Random Events: The Normal and Binomial Models 7. Survey Sampling and Inference 8. Hypothesis Testing for Population Proportions 9. Inferring Population Means 10. Associations between Categorical Variables 11. Multiple Comparisons and Analysis of Variance 12. Experimental Design: Controlling Variation 13. Inference without Normality 14. Inference for Regression |
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