Statistics With R
eBook - ePub

Statistics With R

Solving Problems Using Real-World Data

  1. 784 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistics With R

Solving Problems Using Real-World Data

About this book

Recipient of a 2021 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA) " Statistics with R is easily the most accessible and almost fun introduction to statistics and R that I have read. Even the most hesitant student is likely to embrace the material with this text." —David A.M. Peterson, Department of Political Science, Iowa State University Drawing on examples from across the social and behavioral sciences, Statistics with R: Solving Problems Using Real-World Data 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. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.

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Yes, you can access Statistics With R by Jenine K. Harris in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Acknowledgements
  3. Half Title
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Preface
  9. About the Author
  10. 1 Preparing data for analysis and visualization in R The R-Team and the Pot Policy Problem
  11. 2 Computing and reporting descriptive statistics The R-Team and the Troubling Transgender Health Care Problem
  12. 3 Data visualization The R-Team and the Tricky Trigger Problem
  13. 4 Probability Distributions and Inference The R-Team and the Opioid Overdose Problem
  14. 5 Computing and Interpreting Chi-Squared The R-Team and the Vexing Voter Fraud Problem
  15. 6 Conducting and Interpreting t-Tests The R-Team and the Blood Pressure Predicament
  16. 7 Analysis of variance The R-Team and the Technical Difficulties Problem
  17. 8 Correlation Coefficients The R-Team and the Clean Water Conundrum
  18. 9 Linear Regression The R-Team and the Needle Exchange Examination
  19. 10 Binary Logistic Regression The R-Team and the Perplexing Libraries Problem
  20. 11 Multinomial and Ordinal Logistic Regression The R-Team and the Diversity Dilemma in STEM
  21. Glossary
  22. References
  23. Index