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Learning Goal
Part of: Make inferences and justify conclusions from sample surveys, experiments, and observational studies — 3 of 4 cluster items
Compare two treatments from a randomized experiment
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.
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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
Slides
Interactive presentations perfect for visual learners • 2 slide decks
Slide Video
Watch narrated slides play like a video lesson • Narrated slide playback