# Calendar

## Session Key

L = Lecture

R = Review

E = Exam

Course calendar.
SES # | TOPICS | KEY DATES
--- | --- | ---
L1 | Distributions Derived from Normal Distribution |
L2 | Statistical Models: Classic One-sample Distribution Models |
L3 | Parameter Estimation: Method of Moments | Problem Set 1 Due
L4 | Parameter Estimation: Maximum Likelihood | Problem Set 2 Due
L5 | Maximum Likelihood: Large Sample Theory |
L6 | Bootstrap Confidence Intervals | Problem Set 3 Due
L7 | Sufficiency |
R1 | Exam 1 Review
E1 | Exam 1
L8 | Parameter Estimation: Bayesian Approach | Problem Set 4 Due
L9 | Hypothesis Testing | Problem Set 5 Due (Extra Credit)
L10 | Hypothesis Testing II | Problem Set 6 Due
L11 | Assessing Goodness of Fit | Problem Set 7 Due
R2 | Exam 2 Review
E2 | Exam 2
L12 | Summarizing Data |
L13 | Summarizing Data: Examples and Dynamic Graphics | Problem Set 8 Due
L14 | Regression Analysis |
L15 | Regression Analysis II | Problem Set 9 Due
R3 | Exam 3 Review
E3 | Exam 3
L16 | Comparing Independent Samples and ANOVA |
L17 | Analysis of Categorical Data | Problem Set 10 Due