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The population standard deviation for the temperature of beers found in Scooter's Tavern is 0.26 degrees. If we want to be 90% confident that the sample mean beer temperature is within 0.1 degrees of the true mean temperature, how many beers must we sample

User Kcent
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1 Answer

14 votes
14 votes

Answer:

19 beers must be sampled.

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 - 0.9)/(2) = 0.05

Now, we have to find z in the Z-table as such z has a p-value of
1 - \alpha.

That is z with a pvalue of
1 - 0.05 = 0.95, so Z = 1.645.

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.

The population standard deviation for the temperature of beers found in Scooter's Tavern is 0.26 degrees.

This means that
\sigma = 0.26

If we want to be 90% confident that the sample mean beer temperature is within 0.1 degrees of the true mean temperature, how many beers must we sample?

This is n for which M = 0.1. So


M = z(\sigma)/(√(n))


0.1 = 1.645(0.26)/(√(n))


0.1√(n) = 1.645*0.26


√(n) = (1.645*0.26)/(0.1)


(√(n))^2 = ((1.645*0.26)/(0.1))^2


n = 18.3

Rounding up:

19 beers must be sampled.

User Andrei Dvoynos
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3.0k points