Textbook: Hogg, Tanis, Zimmerman Probability and Statistical Inference, 9th edition
Supplementary textbook: D. P. Bertsekas and John N. Tsitsiklis Introduction to Probability
## Schedule (Spring 2019):

- April 1
- Intro to statistics and histograms (Sections 6.1 from Hogg&Tannnis and 8.1 from Bertsekas&Tsitsiklis)
- April 3
- Descriptive statistics: histograms and empirical distribution (Section 6.1)
- April 5
- Order statistics and q-q plots (Sections 6.2, 6.3)
- April 8
- More on order statistics, starting parameter estimation (Sections 6.3, 6.4)
- April 10
- Maximum likelihood and method of moments estimators (Section 6.4)
- April 12
- Linear regression parameter estimation (Sections 6.5)
- April 15
- Suffisient statistics (Section 6.7)
- April 18
- Bayesian estimation (Section 6.8)
- April 22
- Bayesian estimation continued (Section 6.8)
- April 24
- Confidence intervals for one mean (Section 7.1)
- April 26
- Confidence intervals for the difference of two means (Section 7.2)
- April 29
- Confidence intervals for proportions (Section 7.3))
- May 1
- Confidence intervals for proportions continued (Section 7.3)
- May 3
- Sample size (Section 7.4)
- May 6
- MIDTERM
- May 8
- Testing of hypotheses (Section 8.1)
- May 10
- Tests for one mean (Section 8.1)
- May 13
- Tests for the difference of two means (Section 8.2)
- May 15
- Tests for proportions (Section 8.3)
- May 17
- Power function (Section 8.5)
- May 20
- Power function-2 (Section 8.5)
- May 22
- Best critical regions (Section 8.6)
- May 24
- Sign test and Wilcoxon test (Section 8.4)
- May 27
- Memorial day: no class
- May 29
- Chi-square goodness of fit test (Section 9.1)
- May 31
- Chi-square tests for independence and homogeneity (Section 9.2)
- June 3
- One factor ANOVA tests (Section 9.3)
- June 5
- Two-factor ANOVA tests (Section 9.4)
- June 7
- Last class
- June 11
- FINAL EXAM