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Determine the minimum sample size required when you want to be 99% confident that the sample mean is within 0.50 units of the population mean. Assume a standard deviation of 2.9 in a normally distributed population.

a. 130
b. 224
c. 223
d. 129

User Stockton
by
8.4k points

1 Answer

5 votes

Answer:

b. 224

Explanation:

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


\alpha = (1-0.99)/(2) = 0.005

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
1-0.005 = 0.995, so
z = 2.58

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.

In this problem:

We want to find n, when
M = 0.5, \sigma = 2.9 So


M = z*(\sigma)/(√(n))


0.5 = 2.58*(2.9)/(√(n))


0.5√(n) = 7.482


√(n) = 14.964


(√(n))^(2) = (14.964)^(2)


n = 223.9

The nearest integer number to 223.9 is 224.

So the correct answer is:

b. 224

User Webpat
by
7.6k points

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