A. The owner of a computer repair shop has determined that his daily revenue has a mean of $7000 and a standard deviation of $1200. The daily revenue totals for the next 30 days will be monitored. What is the probability that the mean daily revenue for the next 30 days will exceed $7325?B. Use your answer from the previous question to answer this question: The owner of a computer repair shop has determined that his daily revenue has a mean of $7000 and a standard deviation of $1200. Unsatisfied with his revenue, he implements a new marketing campaign. He then monitors the mean daily revenue for the next 30 days and finds it to be $7325? Draw a conclusion for your business: Has the marketing campaign increased revenue? Why or why not?C. You work for a research firm that has been contracted to estimate the mean weekly family expenditure on clothes. Your boss believes that the standard deviation of the weekly expenditure is $125. Make a decision for your research firm: Determine with 96% confidence the number of families that must be sampled to estimate the mean weekly family expenditure on clothes to within $15.

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Author:Amos Gilat
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A. The owner of a computer repair shop has determined that his daily revenue has a mean of $7000 and a standard deviation of $1200. The daily revenue totals for the next 30 days will be monitored. What is the probability that the mean daily revenue for the next 30 days will exceed $7325?B. Use your answer from the previous question to answer this question: The owner of a computer repair shop has determined that his daily revenue has a mean of $7000 and a standard deviation of $1200. Unsatisfied with his revenue, he implements a new marketing campaign. He then monitors the mean daily revenue for the next 30 days and finds it to be $7325? Draw a conclusion for your business: Has the marketing campaign increased revenue? Why or why not?C. You work for a research firm that has been contracted to estimate the mean weekly family expenditure on clothes. Your boss believes that the standard deviation of the weekly expenditure is $125. Make a decision for your research firm: Determine with 96% confidence the number of families that must be sampled to estimate the mean weekly family expenditure on clothes to within $15.

 

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