1. The first problem we confront in analyzing data is determining the appropriate statistical test. Under what circumstances is a tstatistic used instead of a z-score in a hypothesis test? Give an example of both a t statistic and z-score.

2. When hypothesis testing, when might you use one-independent sample t-test versus a two-independent samplest-test? Provide an example of each for a proposed research study.

3. When is the analysis of variance (ANOVA) statistical test necessary instead of a t test? Compare an ANOVA with a t test and provide an example of each.

4. What is a post-hoc test and why it is necessary when rejecting the null hypothesis with an analysis of variance (ANOVA) statistical test? Describe what a post hoc test detects. Explain an experiment in which you as a researcher would run a post hoc test. Why?

5. A correlation measures and describes the linear relationship between two variables. The relationship is described using a +/- and a numerical value. Define what each indicates about the relationship. Give an example of two variables that seem to be related, and thus have a correlation, but have nothing to do with each other.Go to correlated.org for some ideas!

6. Find an empirical study that made an association claim. What type of correlation analysis did they use (Pearson r, biserial, etc.)? Report their findings in APA and interpret them intwo to three sentences.

7. Explain the difference between parametric and nonparametric testing. Why is a chi square test considered nonparametric? With no assumptions of normality, what is needed to conduct a chi square analysis?

8 .Explain the difference between a chi-square test for independence and a chi-square goodness of fit test. How would you know which test to use?