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An elementary school class ran 1 mile in an average of 11 minutes with a standard deviation of 3 minutes. Rachel, a student in the class, ran 1 mile in 8 minutes. A junior high school class ran 1 mile in an average of 9 minutes, with a standard deviation of 2 minutes. Kenji, a student in the class, ran 1 mile in 8.5 minutes. A high school class ran 1 mile in an average of 7 minutes with a standard deviation of 4 minutes. Nedda, a student in the class, ran 1 mile in 8 minutes.
(a) Why is Kenji considered a better runner than Nedda, even though Nedda ran faster than he?
(b) Who is the fastest runner with respect to his or her class? Explain why?
Test this problem at 99% confidence and provide conclusion. Would the problem have a similar conclusion if we knew the population standard deviation was $40,000? Why?
Evaluate the multiple regression model between quantity sold (Y) and following explanatory variables: average price of deep-dish pizzas, monthly advertising expenditures, and disposable income per household in areas surrounding outlets.
What type of graph would you use to represent the data and why? Focus on finding relevant, personally meaningful material to work with for these students.
If possible, determine a 95% confidence interval for average number of television sets in all 50,000 households. If this is not possible, describe why not.
A prof. can't decide how to vote on a tuition increase for the students at her univ. The incrase is supposed to pay for new student parking and there appears to be mixed feelings. The prof.
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Develop a 95% confidence interval of the difference between the daily population means for the two airports.
identify a pair of variables for which you would expect to see a strong correlation but not a cause-and-effect
Determine the area under the standard normal curve that lies: (a) to the left of Z = -2.31 (b) to the right of Z = -1.47 (c) between Z = -2.31 and Z = -1.47 (d) between Z = 1.47 and Z = 2.31
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