Annual starting salaries for college graduates is unknown. Assume that a 95% confidence interval estimate of the population mean annual starting salary is desired. If the population standard deviation is $3,750 how large should the sample be if margin of error is $500

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Answer:

A sample of 217 is needed.

Step-by-step explanation:

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

[tex]\alpha = \frac{1-0.95}{2} = 0.025[/tex]

Now, we have to find z in the Ztable as such z has a pvalue of [tex]1-\alpha[/tex].

So it is z with a pvalue of [tex]1-0.025 = 0.975[/tex], so [tex]z = 1.96[/tex]

Now, find the margin of error M as such

[tex]M = z*\frac{\sigma}{\sqrt{n}}[/tex]

In which [tex]\sigma[/tex] is the standard deviation of the population and n is the size of the sample.

If the population standard deviation is $3,750 how large should the sample be if margin of error is $500

We have that [tex]\sigma = 3750[/tex].

We need a sample of n, and n is found when [tex]M = 500[/tex]. So

[tex]M = z*\frac{\sigma}{\sqrt{n}}[/tex]

[tex]500 = 1.96*\frac{3750}{\sqrt{n}}[/tex]

[tex]500\sqrt{n} = 1.96*3750[/tex]

[tex]\sqrt{n} = \frac{1.96*3750}{500}[/tex]

[tex](\sqrt{n})^{2} = (\frac{1.96*3750}{500})^{2}[/tex]

[tex]n = 216.1[/tex]

Rounding up

A sample of 217 is needed.