Statistics Using R
eBook - PDF

Statistics Using R

An Integrative Approach

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Statistics Using R

An Integrative Approach

About this book

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.

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Yes, you can access Statistics Using R by Sharon Lawner Weinberg,Daphna Harel,Sarah Knapp Abramowitz in PDF and/or ePUB format, as well as other popular books in Psychology & Research & Methodology in Psychology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title page
  3. Title page
  4. Copyright page
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. Chapter One Introduction
  10. Chapter Two Examining Univariate Distributions
  11. Chapter Three Measures of Location, Spread, and Skewness
  12. Chapter Four Re-expressing Variables
  13. Chapter Five Exploring Relationships between Two Variables
  14. Chapter Six Simple Linear Regression
  15. Chapter Seven Probability Fundamentals
  16. Chapter Eight Theoretical Probability Models
  17. Chapter Nine The Role of Sampling in Inferential Statistics
  18. Chapter Ten Inferences Involving the Mean of a Single Population When σ is Known
  19. Chapter Eleven Inferences Involving the Mean When σ is not Known: One- and Two-Sample Designs
  20. Chapter Twelve Research Design: Introduction and Overview
  21. Chapter Thirteen One-Way Analysis of Variance
  22. Chapter Fourteen Two-Way Analysis of Variance
  23. Chapter Fifteen Correlation and Simple Regression as Inferential Techniques
  24. Chapter Sixteen An Introduction to Multiple Regression
  25. Chapter Seventeen Two-Way Interactions in Multiple Regression
  26. Chapter Eighteen Nonparametric Methods
  27. Appendix A Dataset Descriptions
  28. Appendix B .R Files and Datasets in R Format
  29. Àppendix C Statistical Tables
  30. References
  31. Index