Read more about An Introduction to Psychological Statistics

An Introduction to Psychological Statistics

(4 reviews)

Garett C. Foster, University of Missouri-St. Louis

David Lane, Rice University

David Scott, Rice University

Mikki Hebl, Rice University

Rudy Guerra, Rice University

Dan Osherson, Rice University

Heidi Zimmer, University of Houston

Copyright Year: 2018

Publisher: University of Missouri - St. Louis

Language: English

Formats Available

Conditions of Use

Attribution-NonCommercial-ShareAlike Attribution-NonCommercial-ShareAlike
CC BY-NC-SA

Reviews

Learn more about reviews.

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

  • Prologue: A letter to my students
  • Chapter 1: Introduction
  • Chapter 2: Describing Data using Distributions and Graphs
  • Chapter 3: Measures of Central Tendency and Spread
  • Chapter 4: z-score and the Standard Normal Distribution
  • Chapter 5: Probability
  • Chapter 6: Sampling Distributions
  • Chapter 7: Introduction to Hypothesis Testing
  • Chapter 8: Introduction to t-tests
  • Chapter 9: Repeated Measures
  • Chapter 10: Independent Samples
  • Chapter 11: Analysis of Variance
  • Chapter 12: Correlations
  • Chapter 13: Linear Regression
  • Chapter 14: Chi-square
  • Epilogue: A Brave New World

Ancillary Material

  • Submit ancillary resource
  • About the Book

    We are constantly bombarded by information, and finding a way to filter that information in an objective way is crucial to surviving this onslaught with your sanity intact. This is what statistics, and logic we use in it, enables us to do. Through the lens of statistics, we learn to find the signal hidden in the noise when it is there and to know when an apparent trend or pattern is really just randomness. The study of statistics involves math and relies upon calculations of numbers. But it also relies heavily on how the numbers are chosen and how the statistics are interpreted.

    About the Contributors

    Authors

    Garett C. Foster, University of Missouri-St. Louis

    David Lane, Rice University

    David Scott, Rice University

    Mikki Hebl, Rice University

    Rudy Guerra, Rice University

    Dan Osherson, Rice University

    Heidi Zimmer, University of Houston, Downtown Campus

    Contribute to this Page

    Suggest an edit to this book record