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Title Page 2 Copyright 3 How to Contact Us 4 About the Publisher 5 AI Publishing Is Looking for Authors Like You 7 Download the Color Images 8 Get in Touch with Us 9 Table of Contents 10 Preface 14 About the Author 16 Chapter 1: Introduction to Statistics 17 1.1. What Is Statistics? 17 1.2. How to Design a Study? 17 1.3. How to Collect Data? 18 1.4. How to Describe Data? 19 1.5. How to Analyze Data? 19 1.6. How to Make Conclusions? 21 Chapter 2: Getting Familiar with Python 23 2.1. The Python Language 23 2.2. Python Syntax 25 2.3. Jupyter Notebook 34 2.4. Using NumPy 36 2.5. Using Pandas 38 2.6. Data Visualization with Python 44 2.7. StatsModels for Statistics 60 2.8. Why not Just Use Excel? 62 2.9. Summary and Exercises in Python 62 Chapter 3: Data Exploration and Data Analysis 64 3.1. Probability and Bayes’ Theorem 64 3.2. Estimates Mean, Median, and Mode 68 3.3. Estimates Variability 69 3.4. Measures of Symmetry 70 3.5. Measures of Relationship 72 3.6. Five-Number Summary 73 3.7. Hands-on Exercises in Python 74 Chapter 4: Pandas, Matplotlib, and Seaborn for Statistical Visualization 78 4.1. Pie Charts 78 4.2. Bar Graphs 80 4.3. Box Plots 83 4.4. Frequency Table and Histogram 86

Author

Publishing, AI

Publisher

AI Publishing LLC

Language

EN