WIN $150 GIFT VOUCHERS: ALADDIN'S GOLD

Close Notification

Your cart does not contain any items

Statistical Analysis with R Essentials For Dummies

Joseph Schmuller

$27.95

Paperback

Not in-store but you can order this
How long will it take?

QTY:

English
For Dummies
20 May 2024
The easy way to get started coding and analyzing data in the R programming language

Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R—the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the point, eliminating review material, wordy explanations, and fluff. Understand all you need to know about the foundations of R, swiftly and clearly. Perfect for a brush-up on the basics or as an everyday desk reference on the job, this is the reliable little book you can always turn to for answers.

Get a quick and thorough intro to the basic concepts of coding for data analysis in R Review what you've already learned or pick up essential new skills Perform statistical analysis for school, business, and beyond with R programming Keep this concise reference book handy for jogging your memory as you work

This book is to the point, focusing on the key topics readers need to know about this popular programming language. Great for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job.
By:  
Imprint:   For Dummies
Country of Publication:   United States
Dimensions:   Height: 208mm,  Width: 135mm,  Spine: 13mm
Weight:   204g
ISBN:   9781394263424
ISBN 10:   1394263422
Pages:   192
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active
Introduction 1 Chapter 1: Data, Statistics, and Decisions 3 Chapter 2: Introducing R 11 Chapter 3: Digging Deeper Into R 37 Chapter 4: Finding Your Center 49 Chapter 5: Deviating from the Average 57 Chapter 6: Standards, Standings, and Summaries 67 Chapter 7: What’s Normal? 81 Chapter 8: The Confidence Game: Estimation 89 Chapter 9: One-Sample Hypothesis Testing 99 Chapter 10: Two-Sample Hypothesis Testing 111 Chapter 11: Testing More Than Two Samples 129 Chapter 12: Linear Regression 147 Chapter 13: Correlation: The Rise and Fall of Relationships 161 Chapter 14: Ten Valuable Online Resources 169 Index 173

Joseph Schmuller, PhD, is a cognitive scientist and statistical analyst. He creates online learning tools and writes books on the technology of data science. His books include R All-in-One For Dummies and R Projects For Dummies.

See Also