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Suppose we want to determine the minimum sample size required to give us a 95% confidence interval that estimates, to within $500, the average salary of a state employee. Also, suppose that from a previous experiment, we know that the population standard deviation is $6300. What is the minimum sample size required

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Answer:

The minimum sample size is 610.

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 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.

Population standard deviation is $6300, so
\sigma = 6300

Suppose we want to determine the minimum sample size required to give us a 95% confidence interval that estimates, to within $500, the average salary of a state employee.

This is n when M = 500. So


M = z*(\sigma)/(√(n))


500 = 1.96*(6300)/(√(n))


500√(n) = 1.96*6300


√(n) = (1.96*6300)/(500)


(√(n))^(2) = ((1.96*6300)/(500))^(2)


n = 609.89

Rouding up

The minimum sample size is 610.

User Donal Lafferty
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