Statistics with R
eBook - ePub

Statistics with R

A Beginner?s Guide

  1. 448 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistics with R

A Beginner?s Guide

About this book

Statistics is made simple with this award-winning guide to using R and applied statistical methods. With a clear step-by-step approach explained using real world examples, learn the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching experience. With a wealth of hands-on exercises and online resources created by the author, practice your skills using the data sets and R scripts from the book with detailed screencasts that accompany each script. This book is ideal for anyone looking to:
•Complete an introductory course in statistics
•Prepare for more advanced statistical courses
•Gain the transferable analytical skills needed to interpret research from across the social sciences
•Learn the technical skills needed to present data visually
•Acquire a basic competence in the use of R and RStudio. This edition also includes a gentle introduction to Bayesian methods integrated throughout. The author has created a wide range of online resources, including: over 90 R scripts, 36 datasets, 37 screen casts, complete solutions for all exercises, and 130 multiple-choice questions to test your knowledge.

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Yes, you can access Statistics with R by Robert Stinerock 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. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Acknowledgements
  7. Contents
  8. About the Author
  9. Preface to the Second Edition
  10. Discover this Textbook’s Online Resources!
  11. Acknowledgments
  12. 1 Introduction and R Instructions
  13. 2 Descriptive Statistics: Tabular and Graphical Methods
  14. 3 Descriptive Statistics: Numerical Methods
  15. 4 Introduction to Probability
  16. 5 Discrete Probability Distributions
  17. 6 Continuous Probability Distributions
  18. 7 Point Estimation and Sampling Distributions
  19. 8 Confidence Interval Estimation
  20. 9 Hypothesis Tests: Introduction, Basic Concepts, and an Example
  21. 10 Hypothesis Tests about Means and Proportions: Applications
  22. 11 Comparisons of Means and Proportions
  23. 12 Simple Linear Regression
  24. 13 Multiple Regression