Class Lectures
Lecture 1: Asking questions
Lecture 2: Research design
Lecture 3: Summarizing data
Lecture 4: Summarizing data
Lecture 5: Normal distributions
Lecture 6: Measurement error
Lecture 7: Chance
Lecture 8: Binomial Processes
Lecture 9: Repeated trials
Lecture 10: Expected values
Lecture 11: Sampling
Lecture 12: Sampling error
Lecture 13: Confidence intervals
Lecture 14: Confidence intervals
Lecture 15: Correlation
Lecture 16: Correlation
Lecture 17: Regression
Lecture 18: Regression
Lecture 19: Regression
Lecture 20: Tests of
Significance
Lecture 21: T-tests
Lecture 22: Z-tests
Lecture 23: Chi-square
Lecture 24: Chi-square
Lecture 25: Drawing conclusions
Lecture 26: Recap