recommend that you read about the variables in this dataset.

1. Use the chisqtestGC function to test if sex and marijuana (believing that marijuana should be legalized) are dependent). (alpha = 0.05). Include all of the steps of a hypothesis test that you learned about this semester. Paste a screenshot of your R results here. (2 points)
2. What are the mean and median age of the sample? How many people are in the sample? Paste a screenshot of your R results here. (1 point)
3. (2 points) Run a logistic regression model with sex as the independent variable and marijuana as the dependent variable.

Paste a screenshot of your R results here.

Write a plain English interpretation of the odds ratio and 95% confidence interval.

4. Pretend that I conduct an analysis of the relationship between believing that marijuana should be legalized) and sex are dependent and stratify my analysis by age. Here are my results:

Group	OR (95%) for the relationship between sex and believing that marijuana should be legalized (females are the referent group)
18-35 year olds	0.9 (0.7,1.1)
36-64 year olds	0.4 (0.2, 0.5)

Based on these results, do you think that age is an effect modifier, confounder, or neither? Briefly explain why. (2 points)

5. Pretend that we want to investigate if education (high school, 1-4 years of college, > 4 years of college) is a confounder of the relationship between sex and believing that marijuana should be legalized. Explain the information that you need to make this assessment. Be specific. (3 points)