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a. Compute the cumulative frequency and cumulative percentage distribution for the data. b. What proportion of the sample spent 3 hours or less per week on e-mail? c. What proportion of the sample spent 6 or more hours d. Construct a graph that best displays these data. Explain why the graph you selected is appropriate for these data. per week on e-mail?

a. Compute the cumulative frequency and cumulative percentage distribution for the data. b. What proportion of the sample spent 3 hours or less per week on e-mail? c. What proportion of the sample spent 6 or more hours d. Construct a graph that best displays these data. Explain why the graph you selected is appropriate for these data. per week on e-mail?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 24PPS
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C6. 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. a. Compute the cumulative frequency and cumulative percentage distribution for the data. b. What proportion of the sample spent 3 hours or less per week on e-mail? C. What proportion of the sample spent 6 or more hours per week on e-mail? d. 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 19 20 1 13 2 2 4 6. 6. 2 8. 1 6. 23 10 or more 7.
Transcribed Image Text:C6. 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. a. Compute the cumulative frequency and cumulative percentage distribution for the data. b. What proportion of the sample spent 3 hours or less per week on e-mail? C. What proportion of the sample spent 6 or more hours per week on e-mail? d. 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 19 20 1 13 2 2 4 6. 6. 2 8. 1 6. 23 10 or more 7.
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