Statistics for The Behavioral and Social Sciences: A Brief Course, International Edition eBook, 6th Edition

Arthur Aron all

Statistics for The Behavioral and Social Sciences: A Brief Course, International Edition eBook, 6th Edition

By Arthur Aron, Elliot Coups, Elaine N. Aron
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Arthur Aron all
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For one-quarter/semester courses that focus on the basics in statistics or combine statistics with research methods.


This edition of Statistics for the Behavioral and Social Sciences builds off an already well-established approach - emphasising the intuitive, de-emphasising the mathematical, and explaining everything in direct, simple language - but also goes beyond these principles to further student understanding. By using definitional formulas to emphasise the concepts of statistics, rather than rote memorisation, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing. 

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Definitional formulas are brought to center stage because they provide a concise symbolic summary of the logic of each particular procedure. All explanations, examples, practice problems, and test bank items are based on these definitional formulas.  Students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing
Each procedure is taught both verbally and numerically—and usually visually as well.
  • Every formula has attached to it a concise statement of the formula in words.
  • Practice problems and test bank items, in turn, require the student to calculate results, write a short explanation in layperson’s language of what they have done, and make a sketch (for example, of the distributions involved in a t test).

The text capitalises on the students’ motivations in two major ways.

    • First, the examples, while attempting to represent the diversity of behavioral and social science research, emphasise topics or populations that students seem to find most interesting.  The examples continually emphasise the usefulness of statistical methods and ideas as tools in the research process, never allowing students to feel that what they are learning is theory for the sake of theory.
    • Second, the authors have worked to make the book extremely straightforward and systematic in its explanation of basic concepts so that students can have frequent “aha!” experiences. Such experiences bolster self-confidence and motivate further learning.

Emphasis on statistical methods as a living, growing field of research.

    • Each chapter includes a “box” about famous statisticians or interesting side-lights. The goal is for students to see statistical methods as human efforts to make sense out of the jumble of numbers generated by a research study; to see that statistics are not “given” by nature, not infallible, not perfect descriptions of the events they try to describe, but rather constitute a language that is constantly improving through the careful thought of those who use it.

      Preparing students to read research articles.

  • As this text teaches a statistical method it also gives examples of how that method is reported in journal articles.
  • Practice problems and test bank items also include excerpts from journal articles for the student to explain.
Table of contents
  • Chapter 1 - Displaying the Order in a Group of Numbers Using Tables and Graphs
  • Chapter 2 - The Mean, Variance, Standard Deviation, and Z Scores
  • Chapter 3 - Correlation and Prediction
  • Chapter 4 - Some Key Ingredients for Inferential Statistics: The Normal Curve, Sample Versus Population, and Probability
  • Chapter 5 - Introduction to Hypothesis Testing
  • Chapter 6 - Hypothesis Tests with Means of Samples
  • Chapter 7 - Making Sense of Statistical Significance: Effect Size and Statistical Power
  • Chapter 8 - Introduction to the t Test: Single Sample and Dependent Means
  • Chapter 9 - The t Test for Independent Means
  • Chapter 10 - Introduction to the Analysis of Variance
  • Chapter 11- Chi-Square Tests and Strategies When Population Distributions Are Not Normal
  • Chapter 12 - Applying Statistical Methods in Your Own Research Project