Schedule

Published

September 30, 2024

Modified

December 7, 2024

Week Dates Day Topics Chapter sections
1 M 9/30 No class:
OHSU New Student Orientation
W 10/2 1 Introduction to R & RStudio
2 M 10/7 2 Intro to Data, Data collection 1.1-1.3
W 10/9 3 Summarizing numerical data,
Probability
1.4, 2.1-2.2.4
Sa 10/12 HW 1 Due (Days 1 - 3)
3 M 10/14 4 Bayes’ Theorem, R Packages 2.2.5, extra
W 10/16 5 Data visualization,
exploratory data analysis (EDA),
and summarizing categorical data
1.5-1.7, extra
Sa 10/19 HW 2 Due (Days 4 - 5)
4 M 10/21 6 Random variables,
Binomial distribution
3.1-3.2
W 10/23 7 Normal and Poisson distributions 3.3-3.4
Sa 10/26 HW 3 Due (Days 6 - 7)
5 M 10/28 8 Variability in estimates 4.1
W 10/30 Exam 1: Days 1-7 Ch 1, 2, 3.1-3.4
6 M 11/4 9 Confidence Intervals 4.2
W 11/6 10 Hypothesis Testing:
Single-sample with t-distribution
& Two-sample paired data
4.3, 5.1, 5.2
Sa 11/9 HW 4 Due (Days 8 - 10)
7 M 11/11 11 Hypothesis Testing:
Two-sample independent data;
Power
5.3-5.4, extra
W 11/13 12 Inference for a single proportion
or difference in proportions
8.1-8.2
Sa 11/16 HW 5 Due (Days 11 - 12)
8 M 11/18 13 Chi-squared tests,
Fishers exact test
8.3-8.4
W 11/20 14 Comparing Means with ANOVA. 5.5, extra
Sa 11/23 HW 6 Due (Days 13 - 14)
9 M 11/25 Exam 2: Days 8-13 Ch 4, 5.1-5.4;
extra, 8.1-8.4
W 11/27 15 Simple Linear Regression 6.1-6.2
10 M 12/2 16 Simple Linear Regression 6.3-6.4
W 12/4 17 Non-parametric tests
(sign, signed-rank, rank-sum,
Kruskal-Wallis)
Extra
Sa 12/7 HW 7 Due (Days 15 - 17)
11 M 12/9 Review - catch up
W 12/11 Exam 3 due (take home):
Cumulative with a focus on Days 14-17
Ch 5.5, 6,
non-parametric