Unit 4 summary
You should be able to
- Conduct a statistical hypothesis test of an observed difference between two groups
- Write an appropriate null hypothesis for a study that compares two groups
- Use Monte Carlo simulation in TinkerPlots™ to find the expected variation if the null hypothesis were true (randomization test)
- Formulate a conclusion
- Evaluate the internal validity evidence of a study to make a cause-and-effect inference, using the following criteria:
- Association of cause and effect
- Timing
- No plausible alternative explanations
You should understand
- How to interpret the mean of a dummy variable
- How to interpret the difference in means between two groups
- The logic behind a randomization test, including:
- Why we take the observed outcomes as fixed
- Why we randomly reassign the observed outcomes to experimental groups
- Why we sample without replacement
- What the distribution of results represents
- What “internal validity” means
- The role of random assignment in establishing internal vaidity evidence for drawing cause-and-effect conclusions
TinkerPlots™ skills
- Create a split dot plot
- Create a “shuffler” sampler
- Use the
Ruler tool to find the difference in means
Vocab
- Experiment
- Random assignment
- Observational study
- Confounding variable
- Cause-and-effect
- Internal validity evidence
- Probabilistically equivalent