Statistical Analysis with R For Dummies

by Joseph Schmuller

Overview

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 analysis
• Learn how to analyze and visualize data with R, step by step
• Create charts, graphs, and summaries to interpret results
• Explore hypothesis testing, and prediction techniques

This is the perfect introduction to R for students, professionals, and the stat-curious.

Product Details

ISBN-13:	9781119337263
Publisher:	Wiley
Publication date:	03/03/2017
Sold by:	JOHN WILEY & SONS
Format:	eBook
Pages:	464
File size:	6 MB

About the Author

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

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