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The travel-to-work time for residents in Ventura County is unknown. Assume the population variance is 39. How large should a sample be if the margin of error is 1 minute for a 93% confidence interval

1 Answer

11 votes

Answer:

A sample size of 128 is needed.

Explanation:

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


\alpha = (1-0.93)/(2) = 0.035

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
1-0.035 = 0.965, so
z = 1.81

Now, find the margin of error M as such


M = z*(\sigma)/(√(n))

In which
\sigma is the standard deviation of the population(square root of the variance) and n is the size of the sample.

How large should a sample be if the margin of error is 1 minute for a 93% confidence interval

We need a sample size of n, which is found when
M = 1. We have that
\sigma = √(39). So


M = z*(\sigma)/(√(n))


1 = 1.81*(√(39))/(√(n))


√(n) = 1.81√(39)


(√(n))^2 = (1.81√(39))^2


n = 127.8

Rounding up

A sample size of 128 is needed.

User Ameer Tamboli
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