Students will be able to:

1. Explain why "statistics never establish cause and effect." (depends on the experimental arrangements)
2. Explain the difference between, and provide examples of real world and quasi-experimental settings.
3. Explain "power" and ways in which it can be increased by the design and conduct of an experiment. (probabiliy of finding differences, etc.)
4. Show their understanding of the different uses of the t-test and simple ANOVA with a practical example.
5. Show an understanding of a practical way in which a Factorial ANOVA might be used.
6. Explain the use and limitations of repeated measures designs.
7. Illustrate an understanding of a typical use of t-tests and ANOVAs by designing a sample research study (How are true and quasi-experimental studies different from correlational studies?)

(Revised 1/17/98)