Statistics for the Behavioral Sciences

Nolan and Heinzen offer an introduction to the basics of statistics that is uniquely suited for behavioral science students due to its coverage that is anchored in real-world stories, its highly visual approach to presenting data, helpful mathematical and formula support, and its unique immersive learning activities (Which Test is Best and the new Interpreting Statistical Results) right in Achieve. The latest edition includes information in every chapter about data ethics, including the movement towards open science

Preface

Chapter 1: An Introduction to Statistics and Research Design

Chapter 2: Frequency Distributions

Chapter 3: Visual Displays of Data

Chapter 4: Central Tendency and Variability

Chapter 5: Sampling and Probability

Chapter 6: The Normal Curve, Standardization and z Scores

Chapter 7: Hypothesis Testing with z Tests

Chapter 8: Confidence Intervals, Effect Size, and Statistical Power

Chapter 9: The Single-Sample t Test

Chapter 10: The Paired-Samples t Test

Chapter 11: The Independent-Samples t Test

Chapter 12: One-Way Between-Groups ANOVA

Chapter 13: One-Way Within-Groups ANOVA

Chapter 14: Two-Way Between-Groups ANOVA

Chapter 15: Correlation

Chapter 16: Regression

Chapter 17: Chi-Square Tess

Chapter 18: Choosing and Reporting Statistics

Appendix A: Reference for Basic Mathematics

Appendix B: Statistical Tables

Appendix C: Solutions to End-of-Chapter Problems

Appendix D: Check Your Learning Solutions

Glossary

References

Index

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