Schedule

Fall 2026

The schedule is the main course hub. Readings refer to OpenIntro Statistics, 4th edition. Problem-set exercise numbers correspond to that edition.

Weekly rhythm: Monday lecture · Wednesday guided lab · Friday review, troubleshooting, and On Your Own support.

The schedule may be adjusted to match the pace and needs of the class.

Unit 1: Data, measurement, and exploratory analysis

Date Class activity Preparation and assignments
Mon., Aug. 24 Introduction: data analysis for public policy Day 1 slides
Wed., Aug. 26 Lab 0: R, RStudio, and Quarto Lab guide · Student lab template
Fri., Aug. 28 Setup help and Lab 0 support Complete Lab 0 On Your Own
Mon., Aug. 31 Data collection, observational studies, and experiments OpenIntro Ch. 1
Wed., Sept. 2 Lab 1: Introduction to data analysis in R Lab guide · Student lab template
Fri., Sept. 4 Lab 1 review and troubleshooting Complete Lab 1 On Your Own
Mon., Sept. 7 Labor Day — no class
Wed., Sept. 9 Exploratory data analysis OpenIntro Ch. 2, Sections 2.1–2.3
Fri., Sept. 11 Guided practice: variables, summaries, and interpretation Work on Problem Set 1
Mon., Sept. 14 Describing data and distributions Review OpenIntro Ch. 2
Wed., Sept. 16 Lab 2: Introduction to data Lab materials forthcoming
Fri., Sept. 18 Lab 2 support Problem Set 1 due

Problem Set 1 — Data and exploratory analysis
OpenIntro exercises: Ch. 1: 1.2, 1.6, 1.16, 1.22, 1.30, 1.34; Ch. 2: 2.15, 2.22, 2.24, 2.27.

Unit 2: Probability and distributions

Date Class activity Preparation and assignments
Mon., Sept. 21 Probability and conditional probability OpenIntro Ch. 3, Sections 3.1–3.2
Wed., Sept. 23 Lab 3: Probability Begin Problem Set 2
Fri., Sept. 25 Lab 3 review and probability practice Complete Lab 3 On Your Own
Mon., Sept. 28 Normal and binomial distributions OpenIntro Ch. 4, Sections 4.1 and 4.4
Wed., Sept. 30 Distribution practice and applications Work on Problem Set 2
Fri., Oct. 2 Review and problem-set support Problem Set 2 due

Problem Set 2 — Probability and distributions
OpenIntro exercises: Ch. 2: 2.2, 2.8, 2.18, 2.20, 2.22, 2.26; Ch. 3: 3.4, 3.6, 3.12, 3.18, 3.26, 3.30, 3.36.

Unit 3: Sampling, uncertainty, and foundations for inference

Date Class activity Preparation and assignments
Mon., Oct. 5 Sampling variability and the central limit theorem OpenIntro Ch. 4
Wed., Oct. 7 Lab 4: Sampling and uncertainty Begin Problem Set 3
Fri., Oct. 9 Lab 4 review and simulation practice Complete Lab 4 On Your Own
Mon., Oct. 12 Confidence intervals Review OpenIntro Ch. 4
Wed., Oct. 14 Confidence interval practice Work on Problem Set 3
Fri., Oct. 16 Interpretation and problem-set support Continue Problem Set 3

Unit 4: Hypothesis testing and comparisons

Date Class activity Preparation and assignments
Mon., Oct. 19 Hypothesis testing OpenIntro Ch. 5
Wed., Oct. 21 Lab 5: Inference for numerical data Lab 5 work
Fri., Oct. 23 Lab 5 review and interpretation Complete Lab 5 On Your Own
Mon., Oct. 26 Comparing groups Review OpenIntro Ch. 5
Wed., Oct. 28 Lab 6: More statistical inference Lab 6 work
Fri., Oct. 30 Lab 6 and problem-set support Problem Set 3 due

Problem Set 3 — Statistical inference
OpenIntro exercises: Ch. 4: 4.2, 4.8, 4.10, 4.12, 4.16, 4.20; Ch. 5: 5.3, 5.4, 5.5, 5.6, 5.12, 5.20, 5.22.

Unit 5: Correlation and regression

Date Class activity Preparation and assignments
Mon., Nov. 2 Midterm: Units 1–4 One student-prepared double-sided reference sheet permitted
Wed., Nov. 4 R review and project preparation Bring project ideas and coding questions
Fri., Nov. 6 Project and R support Project preparation
Mon., Nov. 9 Correlation and simple linear regression OpenIntro Ch. 7
Wed., Nov. 11 Lab 7: Simple regression Lab 7 work
Fri., Nov. 13 Lab 7 review and interpretation Complete Lab 7 On Your Own
Mon., Nov. 16 Multiple linear regression OpenIntro Ch. 8, Sections 8.1–8.3
Wed., Nov. 18 Lab 8: Multiple regression and predicted values Lab 8 work
Fri., Nov. 20 Lab 8, predicted values, and project support Complete Lab 8 On Your Own

Fall Break

Date Class activity
Nov. 23–28 Fall Break — no classes or sections

Unit 6: Communicating quantitative findings

Date Class activity Preparation and assignments
Mon., Nov. 30 Communicating findings to policy audiences Project draft
Wed., Dec. 2 Case study and project workshop Bring reproducible analysis
Fri., Dec. 4 Final project support Complete remaining analysis
Mon., Dec. 7 Final policy-poster session and course synthesis Present poster and discuss findings

The individual reproducible report will be submitted through Canvas during the university’s final submission period. The exact deadline will be posted once the official final-exam schedule is confirmed.