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The Data Professor's Guide to Crossing The Thresholds in Basic Statistics

Sean G. Carver, Ph.D.
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Sean G. Carver, Ph.D.

Sean Carver does data science for a small company in Virginia and previously taught mathematics and statistics at American University in Washington DC.

Contents

Table of Contents

Preface for Instructors

An Introduction to p-Values

  1. 1. Quantifying the Evidence that Sleep Deprivation Impairs Performance
  2. 2. More Ways The Apparent Conclusion Could Be Wrong
  3. 3. Deciding that Sleep Deprivation Impairs Performance
  4. 4. The Luck of the Deal
  5. 5. How Unlikely is Our Grouping if the Sleep Pattern Had No Effect on Performance
  6. 6. The “Main” Hypothesis, Commonly Called the “Alternative Hypothesis”
  7. 7. The Null Hypothesis
  8. 8. Making the Null Hypothesis True
  9. 9. Comparing Reshufflings
  10. 10. The Most Extreme Values for the Test Statistic
  11. 11. Equal Test Statistics
  12. 12. Sample Problem One
  13. 13. Sample Problem Two
  14. 14. Understanding the Last Figure

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