OI = OpenIntro Statistics, 3rd ed.

ISRS = Introductory Statistics with Randomization and Simulation

Week Topics Reading
Aug 28 - Sep 1

Data collection basics: observational studies and experiments

Lab 1: Introduction to R and R  Studio

OI: Chapter 1 Sec. 1.1-1.5

Sep 4-8

Descriptive statistics and data visualization

Lab 2: Data visualization in R with ggplot2

OI: Chapter 1 Sec. 1.6-1.8

(skip 1.6.8)

Sep 11-15

Probability

Lab 3: Using simulation to estimate probabilities

OI: Chapter 2 Sec. 2.1-2.3
Sep 18-22

Random variables and their distributions

Lab 4: Probability distributions in R

OI: Chapter 2 Sec. 2.4-2.5

OI: Chapter 3 Sec. 3.1-3.2, 3.4

Sep 25-29

Foundations of inference

Lab 5: Introduction to inference in R

ISRS: Chapter 2 Sec. 2.1-2.5, 2.7-2.8
Oct 2-6

Foundations of inference

Lab 6: Binomial inference in R

ISRS: Chapter 2 Sec. 2.1-2.5, 2.7-2.8
Oct 9-13

Inference for categorical responses: One and two proportions

Lab 7: Inference for proportions in R

OI: Chapter 6 Sec. 6.1-6.2, 6.5-6.6
Oct 16-20

Review and summarize weeks 1-7.

Thursday Oct 19: Midterm 1 Exam

Lab: None

 
Oct 23-27

Inference for one- and two-way tables: Testing for goodness-of-fit and independence

Tuesday Oct 24: Project data and research questions due by 5pm

Lab 8: Chi-squared tests of independence and goodness of fit

OI: Chapter 6 Sec. 6.3-6.4

Oct 30 - Nov 3

Inference for numerical responses: t-tests, ANOVA, and multiple comparisons

Lab 9: Inference for a quantitative response in R

OI: Chapter 5 Sec. 5.1-5.3, 5.5

Nov 6-10

Finish ANOVA and multiple comparisons; introduction to linear models.

  • Nov 9 Notes and R code (this material is not covered on Midterm 2 exam)

Tuesday Nov 7: Project proposal due by 5pm

Lab: Review for Midterm 2 exam - come prepared with questions

OI: Chapter 8 Section 8.1 
Nov 13-17

Simple linear regression

Tuesday Nov 14: Midterm 2 Exam

Lab 10: Linear models in R: the lm function

OI: Chapter 7
Nov 20-24

Simple linear regression

Lab: None - Thanksgiving

OI: Chapter 7 
Nov 27 - Dec 1

Multiple linear regression and model selection

Tuesday Nov 28: Project draft report due by 5pm

Lab 11: Model selection in R

OI: Chapter 8 Section 8.2-8.3
Dec 4-8

Review and project presentations

Lab: None - Office hours

 
Finals Week

Monday Dec 11: Project final report due by 5pm

Comprehensive final exam: Friday, Dec 15 2:00-3:50pm