Explain type of data in problem-categorical or measurement


 A 95% confidence interval for the proportion of women that haveever dozed off while driving is 0.07 to 0.14. For men, a 95% confidence interval for the proportion that haveever dozed off while driving is 0.19 to 0.25. Assume both intervals were computed using large random samples.

a. What conclusion can be made about the two population proportions that have dozed off while driving? Why?

b. Rewrite each confidence interval in terms of percents rather than proportions. Does the conclusion remain the same? Explain.

c. The two samples are which of the following: two independent or two dependent (matched pairs)?

d. What type of data is found in this problem-categorical or measurement?

e. Would the conclusion remain the same if the two confidence intervals had instead been calculated at 90% confidence? Explain.

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Mathematics: Explain type of data in problem-categorical or measurement
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