1. Describe the similarities and differences:

1. Between-subjects with within-subjects designs
2. Small N designs with large N designs.

In what circumstances would you use the within-subjects design and in what circumstances would you use the large N design?

2. When interpreting the results of a statistical analysis, what would it mean to make a Type 1 or Type 2 error? Given an example of each.

3. Since obtaining statistical significance is easier to obtain with a directional hypothesis (one-tailed test) than with a nondirectional hypothesis (two-tailed test), why would anyone ever design a study with a nondirectional hypothesis?

4. What is the difference between descriptive and inferential statistics? Give an example of a research design that might use each type of statistics?

5. How do you translate research findings and apply it to real-world problems and convey that information to others outside of the scientific community?

6. What are some tips and ideas for how to present research findings in a way that is both comprehensive and concise? What are some potential issues with this you potentially see arising when describing your own work?