Read more about Introduction to Statistics in the Psychological Sciences

Introduction to Statistics in the Psychological Sciences

(5 reviews)

Linda R. Cote

Rupa Gordon, Rock Island, Illinois

Chrislyn E. Randell, Denver, CO

Judy Schmitt, St. Louis, MO

Rudy Guerra, University of Missouri-St. Louis

Copyright Year: 2021

Publisher: University of Missouri - St. Louis

Language: English

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Reviewed by Scott Frankowski, Assistant professor, University of Texas Rio Grande Valley on 11/15/22

This textbook covers all of the material I cover in an intro psych stats class. I'd like to see a statistics software program integrated into the text - JASP or R would be great, keeping in line with being an OER. read more

Reviewed by Linda Cote-Reilly, Professor of Psychology, Marymount University on 12/15/20

There is a Table of Contents but no Index or Glossary. read more

Reviewed by Chrislyn Randell, Professor, Metropolitan State University of Denver on 12/3/20, updated 2/26/21

This text covers all the topics I would want to cover in my statistics course, but there is not an index and/or glossary. I believe having an index is so important for students as they may not even know in what chapter to reference a term so the... read more

Reviewed by Brian Leventhal, Assistant Professor, James Madison University on 7/10/19

The text is designed to be an introductory text for psychological statistics. As such, it begins with what statistics is, why we study statistics, and then covers basic material. It provides a nice introduction to the necessary foundational... read more

Reviewed by Rupa Gordon, Assistant Professor, Augustana College on 5/16/19

We currently use Gravetter & Walleneau and this book seems to cover nearly all of the same material. The main topic that this text does not cover is factorial ANOVA, which is an important and complex topic for undergraduates. However, our... read more

Table of Contents

  • Introduction
  • I. Unit 1- Fundamentals of Statistics
    • Chapter 1: Introduction
    • Chapter 2: Describing Data Using Distributions and Graphs
    • Chapter 3: Measures of Central Tendency and Spread
    • Chapter 4: z Scores and the Standard Normal Distribution
    • Chapter 5: Probability
    • Chapter 6: Sampling Distributions
  • II. Unit 2: Hypothesis Testing
  • III. Unit 3: Additional Hypothesis Tests
    • Chapter 11: Analysis of Variance
    • Chapter 12: Correlations
    • Chapter 13: Linear Regression
    • Chapter 14: Chi-Square
  • Epilogue: A Brave New World
  • Appendices
    • Appendix A: Standard Normal Distribution Table (z Table)
    • Appendix B: t Distribution Table (t Table)
    • Appendix C: Critical Values for F (F Table)
    • Appendix D: Critical Values for Pearson’s r (Correlation Table)
    • Appendix E: Chi-Square Table
  • Glossary

Ancillary Material

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  • About the Book

    Introduction to Statistics in the Psychological Sciences provides an accessible introduction to the fundamentals of statistics, and hypothesis testing as need for psychology students. The textbook introduces the fundamentals of statistics, an introduction to hypothesis testing, and t Tests. Related samples, independent samples, analysis of variance, correlations, linear regressions and chi-squares are all covered along with expanded appendices with z, t, F correlation, and a Chi-Square table. The text includes key terms and exercises with answers to odd-numbered exercises.Psychology students often find statistics courses to be different from their other psychology classes. There are some distinct differences, especially involving study strategies for class success. The first difference is learning a new vocabulary—it is similar to learning a new language. Knowing the meaning of certain words will help as you are reading the material and working through the problems. Secondly, practice is critical for success; reading over the material is not enough. Statistics is a subject learned by doing, so make sure you work through any homework questions, chapter questions, and practice problems available. Statistical knowledge gives you a set of skills employable in graduate school and the workplace. Data science is a burgeoning field, and there is practical significance in learning this material. The statistics presented in this book are some of the most common ones used in research articles, and we hope by the end of this OER you’ll feel comfortable reading (and not skipping!) the results section of an article. This work is broken into 14 chapters, covering the fundamentals of statistics, and hypothesis testing.

    This work was created as part of the University Libraries’ Open Educational Resources Initiative at the University of Missouri–St. Louis.

    A web version of this text can be found at

    The contents of this work have been adapted from the following Open Access Resources:

    • An Introduction to Psychological Statistics ( Garett C. Foster, University of Missouri–St. Louis.
    • Online Statistics Education: A Multimedia Course of Study ( Project Leader: David M. Lane, Rice University.

    About the Contributors


    Linda R. Cote, Marymount University

    Gupa Gordon, Augstana College

    Chrislyn E. Randell, Metropolitan State University of Denver

    Judy Schmitt, University of Missouri-St. Louis

    Helena Marvin, University of Missouri-St. Louis

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