Examination 3

Directions:
Respond to each item in a clear and concise paragraph. (In some cases, a single sentence will suffice.) Do not copy passages from the lectures or book. Rather, express your own understanding of the material. Do not write anything or everything that comes to mind; instead, try to devise a brief answer that captures the most relevant information. Before you submit, make a note of the number in the first comment, below. You will need to input this number into the form to submit your work. (This is to prevent spammers from using the form. Sorry about that. Spammers ruin everything.)

1. In your own words, contrast a type-I error with a type-II error. Why do we generally set alpha at 0.05?

2. What is model specification and why is it important?

3. Given that factorial analysis of variance and ordinary least squares regression are both instances of the general linear model, what are the advantages of regression for sociological data analysis?

4. Select two numeric variables in one of our dataframes. Calculate the correlation. Interpret the results. Using the same two variables, calculate the simple linear regression model. Interpret the results. What is the advantage, in this case, of using regression instead of correlation?

5. Select a numeric dependent variable and at least five independent variables (binary or numeric) from one of our dataframes and perform the hypothesis test. Interpret the results.

6. Select a binary dependent variable and at least five independent variables (binary or numeric) from one of our dataframes and perform the hypothesis test. Interpret the results.

7. Summarize Table 4 in Granberg, et al.

8. Summarize Table 3 in Hogan & Seifert.

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