Learn how to understand statistical information and the role it plays in everything from political polls to stock performances in this course taught by a professor of Mathematics.
Overview
Syllabus
- By This Professor
- 01: Describing Data and Inferring Meaning
- 02: Data and Distributions-Getting the Picture
- 03: Inference-How Close? How Confident?
- 04: Describing Dispersion or Measuring Spread
- 05: Models of Distributions-Shapely Families
- 06: The Bell Curve
- 07: Correlation and Regression-Moving Together
- 08: Probability-Workhorse for Inference
- 09: Samples-The Few, The Chosen
- 10: Hypothesis Testing-Innocent Until
- 11: Confidence Intervals-How Close? How Sure?
- 12: Design of Experiments-Thinking Ahead
- 13: Law-You're the Jury
- 14: Democracy and Arrow's Impossibility Theorem
- 15: Election Problems and Engine Failure
- 16: Sports-Who's Best of All Time?
- 17: Risk-War and Insurance
- 18: Real Estate-Accounting for Value
- 19: Misleading, Distorting, and Lying
- 20: Social Science-Parsing Personalities
- 21: Quack Medicine, Good Hospitals, and Dieting
- 22: Economics-"One" Way to Find Fraud
- 23: Science-Mendel's Too-Good Peas
- 24: Statistics Everywhere
Taught by
Michael Starbird
