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

Inference for numerical responses: One and paired means

Lab: TBD

OI: Chapter 6 Sec. 6.3-6.4

OI: Chapter 5 Sec. 5.1-5.2

Oct 30 - Nov 3

Inference for numerical responses: Bootstrapping and two means

Lab: TBD

ISRS: Chapter 4 Sec. 4.5

OI: Chapter 5 Sec. 5.3-5.4

Nov 6-10

Inference for numerical responses: ANOVA and multiple comparisons

Lab: TBD

OI: Chapter 5 Sec. 5.5
Nov 13-17

Linear regression

Lab: TBD

Tuesday Nov 14: Midterm 2 Exam

OI: Chapter 7
Nov 20-24

Linear regression 

Lab: None - Thanksgiving

OI: Chapter 7 
Nov 27 - Dec 1

Introduction to multiple linear regression

Lab: TBD

OI: Chapter 8 Section 8.1 
Dec 4-8

Review and project presentations

Lab: None

 
Finals Week

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