This assignment requires that you examine four hypotheses by means of crosstabulations. The variables for your crosstabulations may be selected from any available data file. To complete this assignment you must:

1. Examine the relevant questionnaire or codebook and choose two dependent variables whose variation you are interested in explaining. 
2. Choose two independent variables from the same data set that you think may help explain variation on each of the selected dependent variables.
3. Write hypotheses stating the relationships you expect to find between each of your dependent variables and the two independent variables, yielding four separate hypotheses. Include these hypotheses on the first page of your output. You will need to begin each successive assignment with your hypotheses as well.
4. In order to produce clear, interpretable contingency tables, some of the categories of the variables may have to be combined or rearranged. So consider whether any of your variables need to be recoded. For example, the variables may have numerous codes or response categories, requiring re-grouping into a few larger categories or the codes for the variables may not be in a logical order (e.g., running medium/low/high rather than low/medium/high or high/medium/low instead of  low/medium/high).
5. Declare any values that should be treated as "missing data" on the variables so that they are not used in constructing the crosstabulations.
6. Crosstabulate each dependent variable with the two independent variables, selecting an appropriate measure of association to summarize each table and checking to make sure that there are no obvious errors in your recodes and labels.
7. Print your results.
8. Focusing on column percentages (i.e., compare you column percentages across the rows to identify the trends in the relationship) and the value of measures of association, write a short paragraph describing each contingency table and whether the evidence supports your hypothesis. This will be the bulk of your write-up so take care to explain exactly what is going on in each crosstabulation. It is not sufficient to have a perfect output if you do not communicate what the output tells us.
9. At the end of the output, briefly state which of the two independent variables best explains variation in each dependent variable and why you think that this is so.
10. Hand in you printout along with your answers.