Statistics for the Social Sciences

Member Contributed Content 2


The Statistics for the Social Sciences course is no longer available. Unfortunately we are unable to support this course because many of the hyperlinks/resources are no longer functional and we are unable to find replacement content that is suitable. Current members who have the course installed may continue to use it but must recognize that we unable to support or correct any issues. We are maintaining access to the instructor reources on this page for any current users who may need them.

Our editorial team is reviewing the content to see what pieces may be able to be utilized through our HippoCampus website. If you have any questions, please feel free to contact us through the support ticket form.



This curriculum covers a variety of statistical methods used in the social sciences. These materials emphasize the fundamental concepts and practical aspects of statistics. This course focuses on three primary areas: probability foundations, descriptive statistics, and inferential statistics.

Description of Course Elements

This course is organized according to chapters, and each chapter includes the following elements:

Readings – This section includes the learning objectives for the chapter and the readings for the recommended textbooks that have been mapped to this course.

Lessons – Each chapter contains lesson(s) which provide the “lecture” portion of this online course.

Assignments – Within each chapter are assignments that relate to the chapter topic. For example, there will be Notes files that you can write in while completing the lessons, and Homework questions that review the material you’ve learned. Additionally there may be Tools listed that you will use for that chapter.

Assessments – This section includes quizzes. Make sure you have studied all the material for the chapter BEFORE attempting these tests.

Course Objectives

In this course, students will have an opportunity to:

  • understand hypothesis testing
  • apply simple linear regression models
  • use non-parametric testing principles
  • compute goodness-of-fit
  • interpret ANOVA


Basic Probability
Interface to Science
Normal Distribution
Binomial Distribution
Central Tendency
Detect Difference
Virtual Lab Tutorial
Difference to Inference
Sampling Distributions
Estimating Parameters
Hypothesis Testing
Chi-Goodness of Fit
Degrees of Freedom
One way ANOVA-Ind
One way ANOVA-Corr
Two way ANOVA-Ind

Instructor Resources

Essential Instructor Resources

Supplemental Instructor Resources

While not necessary to use the course, these additional materials are available to supplement the course or provide more context.


The Statistics for the Social Sciences course was contributed by the University of Utah Department of Psychology.  Special thanks to Thomas Malloy and Jake Jensen for their generous contribution.