Statistics for Research and Life

Preface

Chapter 1: Why Statistics Are So Important
Chapter 2: Frequency Distributions and Visual Displays of Data
Chapter 3: Measures of Central Tendency & Variability
Chapter 4: Z-Scores and the Normal Curve
Chapter 5: Probability and the Distribution of Sample Means
Chapter 6: Introduction to Hypothesis Testing
Chapter 7: Hypothesis Testing with a Distribution of Sample Means
Chapter 8: Statistical Significance, Confidence Intervals, Effect Size, and Power
Chapter 9: Introduction to t-Tests: The Single Sample t-Test and t-Test for Dependent Means
Chapter 10: t-Test for Two Independent/Unrelated Samples
Chapter 11: One-Way Analysis of Variance (ANOVA)
Chapter 12: Repeated-Measures Analysis of Variance ( RM ANOVA)
Chapter 13: Factorial Analysis of Variance (ANOVA)
Chapter 14: Correlation
Chapter 15: Regression
Chapter 16: Chi-Square Tests

Appendix A: Mathematics Refresher
Appendix B: Where Does Data Come From? A Primer on Research Methods and Design
Appendix C: Statistical Tables

Glossary
Name Index
Subject Index

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