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Suppose that a marketing research firm wants to conduct a survey to estimate the meanμof the distribution of the amount spent on entertainment by each adult who visits a certain popularresort. The firm would like to estimate the mean of this distribution to within $60 with 95% confidence.From data regarding past operations at the resort, it has been estimated that the standard deviation ofthe entertainment expenditures is no more than $400. How large does the firm’s sample size need to be?

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Answer:

The firm's sample size must be of at least 171 adults.

Explanation:

We have that to find our
\alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:


\alpha = (1-0.95)/(2) = 0.025

Now, we have to find z in the Ztable as such z has a pvalue of
1-\alpha.

So it is z with a pvalue of
1-0.025 = 0.975, so
z = 1.96

Now, find the margin of error M as such


M = z*(\sigma)/(√(n))

In which
\sigma is the standard deviation of the population and n is the length of the sample.

In this problem, we have that:


M = 60, \sigma = 400. So


M = z*(\sigma)/(√(n))


60 = 1.96*(400)/(√(n))


60√(n) = 784


√(n) = 13.07


n = 170.7

The firm's sample size must be of at least 171 adults.

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