Statistics With R: Solving Problems Using Real-World Data

✍ Scribed by Jenine K. Harris

• Publisher: SAGE Publications, Inc
• Year: 2020
• Tongue: English
• Leaves: 1560
• Edition: 1
• Category: Library

✦ Synopsis

Drawing on examples from across the social and behavioral sciences, Statistics with R: Solving Problems Using Real-World Data by Jenine K. Harris introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced by the "R Team" characters. Inspired by the programming group "R Ladies," the R Team works together to master the skills of statistical analysis and data visualization to untangle real-world, messy data using R. The storylines draw students into investigating contemporary issues such as marijuana legalization, voter registration, and the opioid epidemic, and lead them step-by-step through full-color illustrations of R statistics and interactive exercises.

✦ Table of Contents

Acknowledgements
Half Title
Title Page
Copyright Page
Brief Contents
Detailed Contents
Preface
About the Author
1 Preparing data for analysis and visualization in R The R-Team and the Pot Policy Problem
2 Computing and reporting descriptive statistics The R-Team and the Troubling Transgender Health Care Problem
3 Data visualization The R-Team and the Tricky Trigger Problem
4 Probability Distributions and Inference The R-Team and the Opioid Overdose Problem
5 Computing and Interpreting Chi-Squared The R-Team and the Vexing Voter Fraud Problem
6 Conducting and Interpreting t-Tests The R-Team and the Blood Pressure Predicament
7 Analysis of variance The R-Team and the Technical Difficulties Problem
8 Correlation Coefficients The R-Team and the Clean Water Conundrum
9 Linear Regression The R-Team and the Needle Exchange Examination
10 Binary Logistic Regression The R-Team and the Perplexing Libraries Problem
11 Multinomial and Ordinal Logistic Regression The R-Team and the Diversity Dilemma in STEM
Glossary
References
Index