Schedule

Week	Dates	Day	Topics	Chapter sections
1	M 9/30		No class: OHSU New Student Orientation
	W 10/1	1	Introduction to R & RStudio
2	M 10/6	2	Intro to Data, Data collection	1.1-1.3
	W 10/8	3	Summarizing numerical data, Probability	1.4, 2.1-2.2.4
	Sa 10/11		HW 1 Due (Days 1 - 3)
3	M 10/13	4	Bayes’ Theorem, R Packages	2.2.5, extra
	W 10/15	5	Data visualization, exploratory data analysis (EDA), and summarizing categorical data	1.5-1.7, extra
	Sa 10/18		HW 2 Due (Days 4 - 5)
4	M 10/20	6	Random variables, Binomial distribution	3.1-3.2
	W 10/22		Exam 1: Days 1-5	Ch 1, 2
	Sa 10/25		No HW due -> see HW 3 due 11/1
5	M 10/27	7	Normal and Poisson distributions	3.3-3.4
	W 10/29	8 & 9	Variability in estimates & Confidence Intervals	4.1-4.2
	Sa 11/1		HW 3 Due (Days 6 - 9)
6	M 11/3	10	Hypothesis Testing: Single-sample with t-distribution & Two-sample paired data	4.3, 5.1, 5.2
	W 11/5		Exam 2: Days 6-9	3.1-3.4, 4.1-4.2
7	M 11/10	11	Hypothesis Testing: Two-sample independent data; Power	5.3-5.4, extra
	W 11/12	12	Inference for a single proportion or difference in proportions	8.1-8.2
	Sa 11/15		HW 4 Due (Days 10 - 12)
8	M 11/17	13	Chi-squared tests, Fishers exact test	8.3-8.4
	W 11/19	14	Comparing Means with ANOVA.	5.5, extra
	Thurs 11/20		HW 5 Due (Day 13) Due Thursday!!
9	M 11/24		Exam 3: Days 10-13	4.3, 5.1-5.4; extra, 8.1-8.4
	W 11/26	15	Simple Linear Regression	6.1-6.2
	Sa 11/29		HW 6 Due (Days 14 - 15)
10	M 12/1	16	Simple Linear Regression	6.3-6.4
	W 12/3	17	Non-parametric tests (sign, signed-rank, rank-sum, Kruskal-Wallis)	Extra
	Th 12/4		Exam 2 corrections due
	Sa 12/6		HW 7 (Days 16 - 17)
11	M 12/8		Review - catch up Exam 3 corrections due
	Th 12/11		Exam 4 due (take home): Cumulative with a focus on Days 14-17	Ch 5.5, 6, non-parametric