Statistical Analysis with R For Dummies
by Joseph Schmuller
Simplify stats and learn how to graph, analyze, and interpret data the easy way Statistical Analysis with R For Dummies makes stats approachable by combining clear explanations with practical applications. You'll learn how to download and use R and RStudio—two free, open-source tools—to learn statistics concepts, create graphs, test hypotheses, and draw meaningful conclusions. Get started by learning the basics of statistics and R, calculate descriptive statistics, and use inferential statistics to test hypotheses. Then, visualize it all with graphs and charts. This Dummies guide is your well-marked path to sailing through statistics. Get clear explanations of the basics of statistics and data analysisLearn how to analyze and visualize data with R, step by stepCreate charts, graphs, and summaries to interpret resultsExplore hypothesis testing, and prediction techniques This is the perfect introduction to R for students, professionals, and the stat-curious.
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Table of Contents
Introduction 1 Part 1: Getting Started with Statistical Analysis with R. 7 Chapter 1: Data, Statistics, and Decisions 9 Chapter 2: R: What It Does and How It Does It 17 Part 2: Describing Data 47 Chapter 3: Getting Graphic 49 Chapter 4: Finding Your Center 79 Chapter 5: Deviating from the Average 91 Chapter 6: Meeting Standards and Standings 101 Chapter 7: Summarizing It All 113 Chapter 8: What's Normal? 133 Part 3: Drawing Conclusions from Data 153 Chapter 9: The Confidence Game: Estimation 155 Chapter 10: One-Sample Hypothesis Testing 171 Chapter 11: Two-Sample Hypothesis Testing 197 Chapter 12: Testing More than Two Samples 223 Chapter 13: More Complicated Testing 249 Chapter 14: Regression: Linear, Multiple, and the General Linear Model 273 Chapter 15: Correlation: The Rise and Fall of Relationships 311 Chapter 16: Curvilinear Regression: When Relationships Get Complicated 333 Part 4: Working with Probability 357 Chapter 17: Introducing Probability 359 Chapter 18: Introducing Modeling 381 Chapter 19: Probability Meets Regression: Logistic Regression 403 Part 5: The Part of Tens 413 Chapter 20: Ten Tips for Excel Émigrés 415 Chapter 21: Ten Valuable Online R Resources 429 Index 433
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