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Statistics using R : an integrative approach

By: Weinberg, Sharon LContributor(s): Abramowitz, Sarah Knapp | Harel, DaphnaMaterial type: TextTextPublication details: New York Cambridge University Press 2021Description: 676pISBN: 9781108719148Subject(s): Mathematical statistics - Data processing | R (Computer program language) | Statistics - Data processingDDC classification: 519.50285
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Table of Contents

Preface
Acknowledgments
1. Introduction
2. Examining Univariate Distributions
3. Measures of Location, Spread, And Skewness
4. Re-Expressing Variables
5. Exploring Relationships Between Two Variables
6. Simple Linear Regression
7. Probability Fundamentals
8. Theoretical Probability Models
9. The Role of Sampling in Inferential Statistics
10. Inferences Involving the Mean of a Single Population When Σ Is Known
11. Inferences Involving the Mean When Σ Is Not Known: One- And Two-Sample Designs
12. Research Design: Introduction and Overview
13. One-Way Analysis Of Variance
14. Two-Way Analysis Of Variance
15. Correlation And Simple Regression as Inferential Techniques
16. An Introduction to Multiple Regression
17. Two-Way Interactions in Multiple Regression
18. Nonparametric Methods
Appendix A. Data Set Descriptions
Appendix B. .R Files and Datasets in R Format
Appendix C. Statistical Tables
Appendix D. References
Appendix E. Solutions to End of Chapter Exercises
Index.

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