Statistics for Applications

Lecture Notes

LEC #	TOPICS
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)