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