Compare two treatments from a randomized experiment

Start lessonBegins with Observed difference and the no effect model · Slides

Teacher tools for this standard

Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework

Lesson Plan →Objectives, pacing and practice, built from this lesson's brief.
Guided Notes →One page your students fill in and keep.
Exit Ticket →Three items at the end of class. No student accounts.
Re-teach →After an exit ticket: who missed what, and what to do tomorrow.
Homework →Assign practice; it grades itself.

HSS.IC.B.5

**HSS.IC.B.5**: Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.

HSS.IC.B.5: Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.

What you'll learn

Compute a difference in summary statistics (means or proportions) between two treatment groups in a randomized experiment
State the no-effect assumption -- that any observed difference is due only to the random assignment -- as the model to be tested
Build a re-randomization distribution by repeatedly shuffling group labels and recomputing the difference under the no-effect assumption
Locate the observed difference in the re-randomization distribution and decide whether it is significant (unlikely to arise by chance alone)
Interpret a significant or non-significant result causally, given random assignment, and state the limits of the conclusion

Review first:

Slides

Step through the lesson, or watch it as a narrated video • 2 slide decks

Observed difference and the no effect model

✓ Start here

Watch as video

Re randomization and significance

Watch as video

Practice

Try it on your own

Exercise

Practice problems, checked as you go

Was this lesson helpful?

Report a problem with this page