Statistical Analysis with Python for Dummies (Paperback)

Introduction 1

Part 1: Getting Started with Statistical Analysis with Python 7

Chapter 1: Data, Statistics, and Decisions 9

Chapter 2: Python: What It Does and How It Does It 17

Part 2: Describing Data 45

Chapter 3: Getting Graphic 47

Chapter 4: Finding Your Center 61

Chapter 5: Deviating from the Average 73

Chapter 6: Meeting Standards and Standings 83

Chapter 7: Summarizing It All 93

Chapter 8: What’s Normal? 105

Part 3: Drawing Conclusions from Data 121

Chapter 9: The Confidence Game: Estimation 123

Chapter 10: One-Sample Hypothesis Testing 137

Chapter 11: Two-Sample Hypothesis Testing 159

Chapter 12: Testing More than Two Samples 181

Chapter 13: More Complicated Testing 211

Chapter 14: Regression: Linear, Multiple, and the General Linear Model 233

Chapter 15: Correlation: The Rise and Fall of Relationships 273

Chapter 16: Curvilinear Regression: When Relationships Get Complicated 289

Part 4: Working with Probability 317

Chapter 17: Introducing Probability 319

Chapter 18: Introducing Modeling 341

Chapter 19: Probability Meets Regression: Logistic Regression 363

Part 5: The Part of Tens 373

Chapter 20: Ten Tips for R Veterans 375

Chapter 21: Ten Valuable Python Resources 383

Index 387