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Design experiments using control, randomization, replication, and blocking.
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| Term |
|---|
| Definition |
|---|
| Experimental units | The individuals being studied |
| Subjects | Experimental units that are people |
| Factor | An explanatory variable that is manipulated |
| Level | A specific value of a factor |
| Treatment | A specific combination of factor levels |
| Response variable | What is measured as the outcome |
All experimental units are randomly assigned to treatments with no grouping.
Example: Block by gender, then randomly assign treatments within each gender group.
Note: Blocking is like stratifying in sampling โ but blocks are for experiments, strata are for surveys.
A special case of blocking where:
OR:
| Design | Can conclude causation? | Can generalize? |
|---|---|---|
| Experiment + Random assignment | โ Yes | Only if random selection was used |
| Random selection + Observational | โ No | โ Yes, to population |
| Neither | โ No | โ No |
AP Tip: A well-designed experiment has random assignment (to establish causation) and ideally random selection (to generalize to a population).