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Principles & Methods of Statistical Analysis

by Jerome Frieman, Donald A. Saucier and Stuart S. Miller

Student Resources

  1. The Big Picture
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  2. Examining Our Data
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  3. Properties of Distributions
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  4. Estimating Parameters of Populations From Sample Data
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  5. Resistant Estimators of Parameters
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  6. General Principles of Hypothesis Testing
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  7. The Independent Groups t-Tests for Testing for Differences Between Population Means
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  8. Testing Hypotheses When the Dependent Variable Consists of Frequencies of Scores in Various Categories
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  9. The Randomization/Permutation Model
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  10. Exploring the Relationship Between Two Variables: Correlation
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  11. Exploring the Relationship Between Two Variables: The Linear Regression Model
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  12. A Closer Look at Linear Regression
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  13. Another Way to Scale the Size of Treatment Effects
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  14. Analysis of Variance for Testing for Differences Between Population Means
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  15. Multiple Regression and Beyond
    • Quiz
    • Web Resources
    • SAGE Journal Articles

Web Resources

Click on the following links. Please note these will open in a new window.

This Rice University page gives an overview and examples of the Student’s t-test.

This video from PBS demonstrates how a beer brewer uses t-distributions to monitor quality differences between batches.

This presentation gives multiple examples of side-by-side box plots.

This website gives an explanation about contaminated normal distributions.

This website discusses what effect size is and why it is important.

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