Statistical Analysis with Python For Dummies

Joseph Schmuller is a cognitive scientist and statistical analyst who creates online learning tools as well as books. He is the author of all five editions of Statistical Analysis with Excel For Dummies, both editions of Statistical Analysis with R For Dummies, and R All-in-One For Dummies, among others.

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• Introduction 1Part 1: Getting Started with Statistical Analysis with Python 7Chapter 1: Data, Statistics, and Decisions 9Chapter 2: Python: What It Does and How It Does It 17Part 2: Describing Data 45Chapter 3: Getting Graphic 47Chapter 4: Finding Your Center 61Chapter 5: Deviating from the Average 73Chapter 6: Meeting Standards and Standings 83Chapter 7: Summarizing It All 93Chapter 8: What’s Normal? 105Part 3: Drawing Conclusions from Data 121Chapter 9: The Confidence Game: Estimation 123Chapter 10: One-Sample Hypothesis Testing 137Chapter 11: Two-Sample Hypothesis Testing 159Chapter 12: Testing More than Two Samples 181Chapter 13: More Complicated Testing 211Chapter 14: Regression: Linear, Multiple, and the General Linear Model 233Chapter 15: Correlation: The Rise and Fall of Relationships 273Chapter 16: Curvilinear Regression: When Relationships Get Complicated 289Part 4: Working with Probability 317Chapter 17: Introducing Probability 319Chapter 18: Introducing Modeling 341Chapter 19: Probability Meets Regression: Logistic Regression 363Part 5: The Part of Tens 373Chapter 20: Ten Tips for R Veterans 375Chapter 21: Ten Valuable Python Resources 383Index 387