2. How many hours per week do you spend on e-mail? Data are presented here for a GSS sample of 99 men and women, who each reported the number of hours they spent per week on e-mail.

1. Compute the cumulative frequency and cumulative percentage distribution for the data.
2. What proportion of the sample spent 2 hours or less per week on e-mail?
3. What proportion of the sample spent 7 or more hours per week on e-mail?
4. Construct a graph that best displays these data. Explain why the graph you selected is appropriate for these data.

E-mail Hours per Week	Frequency	Cumulative Frequency	Cumulative Percentage
0 hours	19
1 hour	20
2 hours	13
3 hours	5
4 hours	2
5 hours	6
6 hours	5
7 hours	2
8 hours	3
9 hours	1
10 or more hours	23

3. One of your classmates hypothesizes that people of color are far less likely to own their own home than white people. Use the following data, which draws from GSS18SSDS-B, to test your classmate's hypothesis.

Home Ownership	Race	Total
White	Black
Own or is buying	475	64	539
67.7%	41.3%	63%
Pays rent	227	91	318
32.3%	58.7%	37%
Total	702	155	857
100%	100%	100%

1. Based on your classmate's argument, what is the dependent variable? The independent variable?
2. What percentage of those surveyed own their own home?
3. Using the percentages in the table, describe the relationship between race and home ownership.