Statistics: A Gentle Introduction

✍ Scribed by Frederick L. Coolidge

• Publisher: SAGE Publications
• Year: 2020
• Tongue: English
• Leaves: 1035
• Edition: 4
• Category: Library

✦ Synopsis

The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn’t need to be difficult or dull. This text minimizes students’ anxieties about math by explaining the concepts of statistics in plain language first, before addressing the math. Each formula within the text has a step-by-step example to demonstrate the calculation so students can follow along. Only those formulas that are important for final calculations are included in the text so students can focus on the concepts, not the numbers. A wealth of real-world examples and applications gives a context for statistics in the real world and how it helps us solve problems and make informed choices.

New to the Fourth Edition are sections on working with big data, new coverage of alternative non-parametric tests, beta coefficients, and the "nocebo effect," discussions of p values in the context of research, an expanded discussion of confidence intervals, and more exercises and homework options under the new feature "Test Yourself."

 

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.

✦ Table of Contents

Half Title
Acknowledgements
Publisher Note
Title Page
Copyright Page
Brief Contents
Detailed Contents
Preface
Acknowledgments
About the Author
1 A Gentle Introduction
2 Descriptive Statistics: Understanding Distributions of Numbers
3 Statistical Parameters: Measures of Central Tendency and Variation
4 Standard Scores, the z Distribution, and Hypothesis Testing
5 Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the z Distribution
6 An Introduction to Correlation and Regression
7 The t Test for Independent Groups
8 The t Test for Dependent Groups
9 Analysis of Variance (ANOVA): One-Factor Completely Randomized Design
10 After a Significant ANOVA: Multiple Comparison Tests
11 Analysis of Variance (ANOVA): One-Factor Repeated-Measures Design
12 Factorial ANOVA: Two-Factor Completely Randomized Design
13 Post Hoc Analysis of Factorial ANOVA
14 Factorial ANOVA: Additional Designs
15 Nonparametric Statistics: The Chi-Square Test and Other Nonparametric Tests
16 Other Statistical Topics, Parameters, and Tests
Appendix A z Distribution
Appendix B t Distribution
Appendix C Spearman’s Correlation
Appendix D Chi-Square (χ2) Distribution
Appendix E F Distribution
Appendix F Tukey’s Table
Appendix G Mann–Whitney U Critical Values
Appendix H Wilcoxon Signed-Rank Test Critical Values
Appendix I Answers to Odd-Numbered Test Yourself Questions
Glossary
References
Index