Statistical Analysis with R For Dummies

Häftad, Engelska, 2025

Av Joseph Schmuller

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Simplify stats and learn how to graph, analyze, and interpret data the easy wayStatistical 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 techniquesThis is the perfect introduction to R for students, professionals, and the stat-curious.

Produktinformation

Utgivningsdatum2025-06-19
Mått230 x 20 x 180 mm
Vikt845 g
FormatHäftad
SpråkEngelska
SerieFor Dummies
Antal sidor464
Upplaga2
FörlagJohn Wiley & Sons Inc
ISBN9781394343065

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Introduction 1Part 1: Getting Started with Statistical Analysis with R. 7Chapter 1: Data, Statistics, and Decisions 9Chapter 2: R: What It Does and How It Does It 17Part 2: Describing Data 47Chapter 3: Getting Graphic 49Chapter 4: Finding Your Center 79Chapter 5: Deviating from the Average 91Chapter 6: Meeting Standards and Standings 101Chapter 7: Summarizing It All 113Chapter 8: What’s Normal? 133Part 3: Drawing Conclusions from Data 153Chapter 9: The Confidence Game: Estimation 155Chapter 10: One-Sample Hypothesis Testing 171Chapter 11: Two-Sample Hypothesis Testing 197Chapter 12: Testing More than Two Samples 223Chapter 13: More Complicated Testing 249Chapter 14: Regression: Linear, Multiple, and the General Linear Model 273Chapter 15: Correlation: The Rise and Fall of Relationships 311Chapter 16: Curvilinear Regression: When Relationships Get Complicated 333Part 4: Working with Probability 357Chapter 17: Introducing Probability 359Chapter 18: Introducing Modeling 381Chapter 19: Probability Meets Regression: Logistic Regression 403Part 5: The Part of Tens 413Chapter 20: Ten Tips for Excel Émigrés 415Chapter 21: Ten Valuable Online R Resources 429Index 433