Teaching Statistics With COVID-19 Data

Updated: Sep 15

Please be aware that COVID-19 can be a very sensitive subject for some students and be prepared to provide these students with additional support if they need it.


These materials include content that is related to the COVID-19 pandemic. They are suitable for use in an on-level Statistics or AP Statistics course, and in some cases, in a mathematics course that includes probability and statistics content. This collection includes resources developed by statistics textbook authors Daren Starnes and Josh Tabor, Barron's review book author Martin Sternstein, college professor Allan Rossman, and stats teacher Dashiell Young-Saver.


Each resource includes a description of the intended student learning outcomes. Teachers are encouraged to preview individual resources to ensure appropriateness of the subject matter and difficulty level before using them with their students.

Restaurant Spending and COVID-19 (PDF for students) (PDF for teachers)

By Daren Starnes and Martin Sternstein

In this handout, students will investigate the relationship between the change in restaurant spending in a given state and the increase in new COVID-19 cases in that state over the next three weeks using a scatterplot, correlation, and linear regression.

Stats Medic alignment: AP Stats Unit 2; Intro Stats Chapter 2

COVID-19 Testing (PDF for students) (PDF for teachers)

By Daren Starnes

In this handout, students will analyze the implications of false positive and false negative results in antibody testing for COVID-19 using tree diagrams or two-way tables, the general multiplication rule, and conditional probability.

Stats Medic alignment: AP Stats Unit 4; Intro Stats Chapter 4

Batch Testing (PDF for students) (PDF for teachers)

By Josh Tabor and Allan Rossman

In this handout, students will investigate the potential benefits of batch testing for diseases like COVID-19 by using probability rules (addition, multiplication, complement) to help create the probability distribution of a discrete random variable, and expected values to determine when batch testing is advantageous.

Stats Medic alignment: AP Stats Unit 4; Intro Stats Chapter 4, Intro Stats Chapter 5


Vaccines, Confidence Intervals, and Relative Risk (PDF for students) (PDF for teachers)

By Josh Tabor

In this handout, students will use data from the Moderna vaccine trial to create a confidence interval for a difference in proportions and make a conclusion based on the interval. Students will then be introduced to the concept of relative risk and guided to create a confidence interval for relative risk. Note: This handout is based on the 2009 International AP Statistics Exam Investigative Task.

Stats Medic alignment: AP Stats Unit 6; Intro Stats Chapter 9

Treating Serious Cases of COVID-19 (PDF for students) (PDF for teachers)

By Daren Starnes

In this handout, students will use a test for a difference in proportions to analyze results from a clinical trial in the United Kingdom that tested the effectiveness of dexamethasone in reducing deaths for hospitalized COVID-19 patients.

Stats Medic alignment: