Statistical analysis with R essentials for dummies

By:

Schmuller, Joseph

Material type: Text

TextPublication details: John Wiley & Sons, Inc. New Jersey 2024Description: ix, 180 pISBN:

9781394263424

Subject(s):

DDC classification:

519.5 SCH

Summary: 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 (https://www.wiley.com/en-us/Statistical+Analysis+with+R+Essentials+For+Dummies-p-9781394263424)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	519.5 SCH (Browse shelf(Opens below))	1	Available		008590

Table of contents:
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

[https://www.wiley.com/en-us/Statistical+Analysis+with+R+Essentials+For+Dummies-p-9781394263424#tableofcontents-section]

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

(https://www.wiley.com/en-us/Statistical+Analysis+with+R+Essentials+For+Dummies-p-9781394263424)

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