Question 1 (2 points) A researcher wonders if gender and political party affiliation are related. Political party affiliation is measured as democrat, republican, independent, or other. In this design, the level of measurement for party affiliation is O A) ratio. 0 B) ordinal. O C) interval. 0 D) categorial. Question 2 (2 points) In a study where the relationship between gender and having a college degree is evaluated, having a college degree is the O A) causal variable. 0 B) dependent variable. O C) independent variable. 0 D) predictor variable. Question 3 (6 points) Imagine a study of college students' political party preference. The researcher asks "which political party do you most identify with?" and provides the following options: democrat, republican, green party, libertarian, other. If the sample size 325 what is the expected value for any category (including "other"), assuming the null hypothesis is equal proportions among the 5 categories? Your answer must be a whole number (i.e., no decimals). Your Answer: :l Answer Question 4 (6 points) A researcher wonders if gender and liking for statistics are related. She collects the following data: Like Dislike Male 21 13 Female 8 13 What is the expected value for males who dislike statistics? You can do this by hand or use any the online chi-square calculator that l demonstrated in class. Your Answer: Question 5 (6 points) A researcher wonders if gender and pet ownership are related. She constructs a survey, sends it to a randomly selected sample, and gets the following data: Dogs Cats Male 59 25 Female 40 17 What is the chi-square statistic for these data? Again, you may do this by hand or use the online chi-square calculator that l demonstrated in class. Your Answer: :l Answer Question 6 (6 points) What do you conclude about the association between gender and pet ownership that you calculated in the previous question? You can answer this question in one of two ways. First, you can "eyeball" the chisquare and explain whether the expected and observed frequencies are different enough to suggest an association. Second, you can refer to the chi-square critical value and whether the chi-square exceeds it. / Question 7 (6 points) A researcher wonders if gender and self disclosure are related. She asks a sample of men and women if they are "selfdisclosers" and get the following data: Self-Disclose? Yes No Male 59 59 Female 18 35 What is the odds ratio for these data? Again, you can do this by hand (see class notes) or use the online calculator discussed in class. Your Answer: [: Answer Question 8 (6 points) Interpret the odds ratio from the previous question. You can do this in one of two ways. You can "eyeball" it and assess whether it looks different enough from the null hypothesis value, or you can use the CI for the odds ratio from the online calculator