For each of the scenarios below, decide which of the analyses we've discussed in class is the most appropriate. (Extra practice: Where relevant, label the important variables in the scenario; e.g., IV and DV, predictor and outcome variable, etc.)

1. A neuropsychologist thinks that a person's Mini-Mental Status Exam (MMSE) scores are related to the number of strokes that person has had in their lifetime. They want to know if you can predict someone's MMSE score by knowing how many strokes the person has had.

2. A researcher wants to examine whether males or females are more likely to talk on their cell phones while driving. Data collected can be expressed by the gender of the person (male or female) and whether they talked on their cell phone while driving (they did or they didn't)

3. You are interested in better understanding the relationship between of depression and anxiety rates and a cancer diagnosis. Specifically, you want to know if the patients who feel as if they have strong social support report fewer anxiety/depression symptoms after cancer diagnosis than those who do not.

4. A local neighborhood has recently implemented a new type of Neighborhood Watch program. You want to know if the number of violent crimes reported in that neighborhood is similar to the average number of violent crimes reported in Atlanta in general.

5. The psychology department is interested in whether or not requiring students to learn statistical programming in PSYC 3510 along with the rest of the content will improve students' performance. One semester, the chair randomly assigns sections of 3510 to either use SPSS (a statistical program) as part of their course or to not use SPSS and continue with the course as it has traditionally been offered. At the end of the semester, department administration plans to compare differences between the course sections on number of students who pass, number of students who dropped the course, and average grade.