Consider an x distribution with standard deviation o = 34. (a) If specifications for a research project require the standard error of the corresponding distribution to be 2, how
large does the sample size need to be?
B) If specifications for a research project require the standard error of the corresponding x distribution to be 1, how large does the sample size need to be?

Part (a)

The standard error (SE) formula is

where n is the sample size. We're given SE = 2 and sigma = 34, so,

So we need a sample size of n = 289 to have an SE value of 2.

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Part (b)

We'll use SE = 1 this time

Because we require greater precision (i.e. a smaller SE value), the sample size must be larger to account for this. In other words, as SE goes down, then n must go up, and vice versa.

$9.89

step-by-step explanation:

9.90 = p x .06 x .25 (3/12 changed to a decimal)

9.90 = p x 0.015

9.90 - 0.015 = p

9.89 = p

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