Lecture 1. Review of Probability Theory [slides]
Supplementary: De Mere Problem
Lecture 2. Sampling Distributions [slides]
Lecture 3. Confidence Intervals for Means [slides]
Lecture 4. Confidence Intervals for Proportion and Variance [slides]
Lecture 5. Confidence Intervals for Dependent Samples [slides]
Lecture 6. Confidence Intervals for Independent Samples [slides]
Lecture 7. Confidence Intervals for Difference in Proportion [slides]
Lecture 8. Tests of the Mean with Known Variance [slides]
Lecture 9. Tests of the Difference in Mean [slides]
Lecture 10. Simple Regression [slides]
Lecture 11. Regression Analysis [slides]
Lecture 12. A Preview of Machine Learning [slides]
