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A local hotel wants to estimate the average age of its guests that are from out-of-state. Preliminary estimates are that standard deviation of population of guests from out-of-state is 30. How large a sample should be taken to estimate the average age of out-of-state guests with a margin of error no larger than 5 and with a 95% level of confidence? a. 12 b. 11 c. 139 d. 138

User Patrikbeno
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2 Answers

5 votes

Answer:


n=((1.960(30))/(5))^2 =138.30 \approx 139

And if we round up to the nearest integer we got n =139, and the best answer for this case is:

c. 139

Explanation:

For this case we have this previous info:


\sigma = 30 represent the previous estimation for the population deviation


Confidence =0.95 represent the confidence level

The margin of error for the true mean is given by this formula:


ME=z_(\alpha/2)(\sigma)/(√(n)) (a)

The desired margin of error is ME =5 and we are interested in order to find the value of n, if we solve n from equation (a) we got:


n=((z_(\alpha/2) \sigma)/(ME))^2 (b)

The critical value for a 95% of confidence interval given now can be founded using the normal distribution. For this case the critical value would be given by
z_(\alpha/2)=1.960, replacing into formula (b) we got:


n=((1.960(30))/(5))^2 =138.30 \approx 139

And if we round up to the nearest integer we got n =139, and the best answer for this case is:

c. 139

User Josh Heitzman
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3.3k points
5 votes

Answer:

c. 139

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 size of the sample.

How large a sample should be taken to estimate the average age of out-of-state guests with a margin of error no larger than 5 and with a 95% level of confidence?

We need a sample size of n.

n is found when
M = 5, \sigma = 30

So


M = z*(\sigma)/(√(n))


5 = 1.96*(30)/(√(n))


5√(n) = 1.96*30

Simplifying by 5


√(n) = 1.96*6


(√(n))^(2) = (1.96*6)^(2)


n = 138.30

We round up,

So the correct answer is:

c. 139

User Victor Marchuk
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