1. Education analysis: Can we conclude that there is a statistically significant difference between level of education and the dependent variables? Sort and set up the data as you did for the age analysis. Initially, conduct an Anova analysis to determine if there is a difference across education levels. If there is, then test the following null hypotheses (t-test): Es-Eh 0; Ea-Eh 0; Eb-Eh 0; Eb-Ea 0; Eg-Eb 0; etc. (see the t-test in problem 3). Be sure to use all possible pairs. Discuss your results. Comment on whether education level appears to be positively or negatively correlated to each dependent variable.

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