I’ll provide a brief summary of a design or research question. You try and identify the correct statistical test. Be specific (paired, independent, between, repeated, mixed, if relevant)

If factorial, identify correct notation (e.g. 4(year in college: freshman, sophomore, junior, senior) x 2(greek affiliation: greek vs. GDI) between subjects factorial ANOVA).

Part 1. Identifying designs

1. Does amount of sleep (4 hours vs. 8 hours) influence the quality of performance for middle-aged, but Not College-aged, people? (all data were collected in a single day)

2. Do people perform better the second time they do a task than the first time they do a task, but only if the task is easy, and not difficult (participants performed either an easy or difficult task)?

3. Do smokers and non-smokers Rate Images of others smoking equivalently positively?

4. Do female engineers, but not male engineers, enjoy group meetings more than one-on-one meetings (participants were asked about both types of meetings)?

5. Do people like brownies better than apples, and apples better than peanuts (participants eat all foods, in a random order)?

6. Are people more persuaded by commercials with a male than a female voice when the product is male-stereotypical, but not when it is female-stereotypical (participants hear both male and female voices and see both female- and male-stereotypical products)?

Part 2. Recognizing and Graphing Hypotheses

1. An educational psychologist is interested in whether reinforcement (positive vs. none) from instructors and students’ optimal learning style (auditory vs visual) have an effect on learning outcomes. He measures student learning style and then randomly assigns each student to either the positive or no reinforcement conditions. His primary hypothesis is that regardless of how students prefer to learn, positive reinforcement from instructors leads to better learning outcomes compared to no reinforcement.

a. What are the variables in this research? Name levels of IV(s) and state whether between or within subjects.

b. What statistical test should we run?