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Quantitative Data Collection & Analysis Assignment Series: Assignment 3 SOC 300 Due 3/25 at 11:59 pm The purpose of this assignment is to provide an opportunity for you to practice working with hypotheses, identifying appropriate types of analysis, and interpreting statistical analyses. Please type your answers into this document in the space given, save the document with your last name included in the file name, and submit on Moodle. (For each category: excellent 90-100%; good 80-89%; fair 70-79%; poor 60-69%) In total: 60 points. 1. Consider the research topic you have been developing. Given your research question and variables identified in assignments 1 and 2, what would be your null and research hypotheses? Null hypothesis: Research hypothesis: (Q1: 6 points= 2 * 3 pts for each) . 2. Would a cross-tabulation, t-test, or regression be appropriate for testing your hypotheses (as stated in #1)? Why or why not? (Q2: 4 points) 3. Imagine that you are conducting an analysis of the relationship between education and individual's opinions about men working and women staying at home. You hypothesize that there is a relationship between level of education (dichotomized as less than bachelor's/ bachelor's or higher) and gender role attitudes. You then run a cross-tabulation and chi-square test in order to test your hypothesis. Here are your results: (Q3: 14 points)

Chi-square = 73.247; p<0.000 Provide an interpretation of the cross-tabulation (3 points) and chi-square results (3 points) and explain what they say about your (null and research) hypotheses (4 points). Then provide a brief statement summarizing the sociological implications of your findings (4 points). 4. Imagine that you are conducting an analysis of the relationship between level of education (measured in years) and support for legalization of marijuana. You hypothesize that the mean number of years of education attained by individuals who support marijuana legalization is not equal to the mean number of years of education attained by individuals who do not support marijuana legalization. Here are the results of the t-test you run to test your hypothesis: (Q4: 14 points) Two-sample t test with equal variances Group Obs Mean Std. Err. Std. Dev. [95% Conf. Interval] 600 legal not lega 13.825 13.00763 . 1181689 .1295999 2.894536 3.316846 13.59292 12.75315 14.05708 13.26212 655 combined 1255 13.39841 .0888462 3.147465 13.2241 13.57271 diff .8173664 .1764297 . 4712362 1.163497 diff - mean (legal) - mean (not lega) HO: diff = 0 t- degrees of freedom = 4.6328 1253 Ha: diff < 0 Pr (T<t) = 1.0000 Ha: diff != 0 Pr(TO > It) = 0.0000 Ha: diff > 0 Pr (T > t) = 0.0000 Provide an interpretation of the t-test results (6 points; 2 pts for interpretation of t-statistic, and 4 for p-value) and explain what they say about your hypotheses (4 points). Then provide a brief statement summarizing the sociological implications of your findings (4 points). 5. Reconsider the relationship tested in #4. The hypothesized relationship being tested implies that attitudes towards marijuana legalization (IV) impact individuals' level of education (DV). Do you see any issues with this implication? (4 points) Why or why not? (If yes, how would you alter the hypothesized relationship to improve it?) (4 points) 6. Imagine that you are conducting an analysis of the relationship between individuals' number of siblings (sibs) and the number of children they have (childs). You hypothesize that one's number of siblings has an effect on the predicted number of children they have. Here are the results of the regression you run to test your hypothesis:

Source SS df MS 1 Model Residual 307.070957 5854.95948 307.070957 2.87712997 Number of obs = F 1, 2035) Prob > F R-squared Adj R-squared Root MSE 2037 106.73 0.0000 0.0498 0.0494 1.6962 2035 Total 6162.03044 2036 3.02653754 childs Coef. Std. Err. t P>|t| [95% Conf. Interval] sibs .1375154 1.395625 .013311 .0606262 10.33 23.02 0.000 0.000 .1114107 1.276729 .1636201 1.514521 cons Provide an interpretation of the regression results (6 points: 2 pts for interpretation of p-value, and 4 for coefficient) and explain what they say about your hypotheses (4 points). Then provide a brief statement summarizing the sociological implications of your finding (4 points).