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About this book
Rebecca M. Warner's bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from the first half of the original book.
The author?s contemporary approach reflects current thinking in the field, with its coverage of the "new statistics" and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website.
Bundle and Save
Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition
Bundle Volume I and II ISBN: 978-1-0718-1337-9
An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I
Bundle ISBN: 978-1-0718-1325-6
The author?s contemporary approach reflects current thinking in the field, with its coverage of the "new statistics" and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website.
Bundle and Save
Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition
Bundle Volume I and II ISBN: 978-1-0718-1337-9
An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I
Bundle ISBN: 978-1-0718-1325-6
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Yes, you can access Applied Statistics I by Rebecca M. Warner 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.
Information
Table of contents
- Cover
- Half Title
- Acknowledgements
- Publisher Note
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Preface
- Acknowledgments
- About the Author
- Chapter 1 Evaluating Numerical Information
- Chapter 2 Basic Research Concepts
- Chapter 3 Frequency Distribution Tables
- Chapter 4 Descriptive Statistics
- Chapter 5 Graphs: Bar Charts, Histograms, and Boxplots
- Chapter 6 The Normal Distribution and z Scores
- Chapter 7 Sampling Error and Confidence Intervals
- Chapter 8 The One-Sample t Test: Introduction to Statistical Significance Tests
- Chapter 9 Issues in Significance Tests: Effect Size, Statistical Power, and Decision Errors
- Chapter 10 Bivariate Pearson Correlation
- Chapter 11 Bivariate Regression
- Chapter 12 The Independent-Samples t Test
- Chapter 13 One-Way Between-Subjects Analysis of Variance
- Chapter 14 Paired-Samples t Test
- Chapter 15 One-Way Repeated-Measures Analysis of Variance
- Chapter 16 Factorial Analysis of Variance
- Chapter 17 Chi-Square Analysis of Contingency Tables
- Chapter 18 Selection of Bivariate Analyses and Review of Key Concepts
- Appendix A: Proportions of Area Under a Standard Normal Curve
- Appendix B: Critical Values for t Distribution
- Appendix C: Critical Values of F
- Appendix D: Critical Values of Chi-Square
- Appendix E: Critical Values of the Pearson Correlation Coefficient
- Appendix F: Critical Values of the Studentized Range Statistic
- Appendix G: Transformation of r (Pearson Correlation) to Fisher’S Z
- Glossary
- References
- Index
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