Lecture Details

Lecture 1: Introduction, Histograms
Lecture 2: Average, Median
Lecture 3: SD, Normal Approximation
Lecture 4: Correlation I
Lecture 5: Correlation II
Lecture 6: Regression
Lecture 7: RMS Error
Lecture 8: Regression Line
Lecture 9: Obs Studies, Experiment
Lecture 10: Review I
Lecture 11: Review II
Lecture 12: Probability I
Lecture 13: Probability II
Lecture 14: Box Models
Lecture 15: Expected Value, Standard Error, Normal Approximation
Lecture 16: Exp Val, SE I
Lecture 17: Sampling
Lecture 18: SE II
Lecture 19: Review
Lecture 20: Confidence Intervals
Lecture 21: Confidence Interval for Average
Lecture 22: Hypothesis Testing I
Lecture 23: T-test
Lecture 24: Two Sample Z-test
Lecture 25: Hypotheses Test II
Lecture 26: Review I (audio problems first 2 minutes)
Lecture 27: Review II