MATH 401A Probability And Statistic Theory 9:00-9:50 MWF DR. JOHN H. HARRIS
TOPICS	Click on a topic to see the notes.

1.2 Characterizing Sets: Graphical   Measurements	2.9 Event Composition Method	4.6-7 Gamma, Beta Distributions
1.3 Characterizing Sets: Numerical   Measurements	3.2 Distributions; Discrete Random           Variables	4.10 Tchebysheff's Theorem
1.4 Making Inferences	3.3 Expected Value	8.2-8.4 Estimation
2.3 Sets Review	3.4-5 Binomial, Geometric Distributions	8.5 Confidence Intervals (CI's)
2.4 Probability Model: Discrete Case	3.7-8 Hypergeometric, Possion Distrs	8.8 Small Sample CI's
2.5 Sample Point Method: Counting	3.11 Tchebysheff's Theorem	10.3 Large sample Tests
2.6 Counting Continued	4.2 Continuous Random Variables	10.4 Type II Errors
2.7 Conditional Probability	4.3 Expected Value	10.6 Significance Level & p-values
2.8 Two Laws of Probability	4.4-5 Uniform, Normal Distributions	10.8 Small Sample Tests