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The population standard deviation for the scores of a standardized test is 5 points. If we want to be 95% confident that the sample mean is within 2 points of the true population mean, what is the minimum sample size that should be taken

2 Answers

5 votes

Answer:

The answer is 25. You should round up not down

Explanation:

User Yogeshagr
by
7.7k points
6 votes

Answer:

The minimum sample size that should be taken is 24.

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.

If we want to be 95% confident that the sample mean is within 2 points of the true population mean, what is the minimum sample size that should be taken

This is n when
M = 2, \sigma = 5


M = z*(\sigma)/(√(n))


2 = 1.96*(5)/(√(n))


2√(n) = 1.96*5


√(n) = (1.96*5)/(2)


(√(n))^(2) = ((1.96*5)/(2))^(2)


n = 24.01

The minimum sample size that should be taken is 24.

User Eki Eqbal
by
8.3k points

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