| L1 |
Statistics for Applications Course Overview (PDF)
Distributions Derived from Normal Distribution (PDF)
|
| L2 | Statistical Models: Classic One-sample Distribution Models (PDF) |
| L3 | Parameter Estimation: Method of Moments (PDF) |
| L4 | Parameter Estimation: Maximum Likelihood (PDF) |
| L5 | Maximum Likelihood: Large Sample Theory (PDF) |
| L6 | Bootstrap Confidence Intervals (PDF) |
| L7 | Sufficiency (PDF) |
| L8 | Parameter Estimation: Bayesian Approach (PDF) |
| L9 | Hypothesis Testing (PDF) |
| L10 | Hypothesis Testing II (PDF) |
| L11 | Assessing Goodness of Fit (PDF) |
| L12 | Summarizing Data (PDF) |
| L13 | Summarizing Data: Examples and Dynamic Graphics (PDF) |
| L14 | Regression Analysis (PDF) |
| L15 | Regression Analysis II (PDF) |
| L16 | Comparing Independent Samples and ANOVA (PDF) |
| L17 | Analysis of Categorical Data (PDF) |
