If it is assumed that the heights of men are normally distributed with a standard deviation of 1.5 inches, how large a sample should be taken to be fairly sure (probability 0.95) that the sample mean does not differ from the true mean (population mean) by more than 0.90

Answer :

Answer:

We need a sample of at least 8 men.

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{1-0.9}{2} = 0.05[/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]1-0.05 = 0.95[/tex], so [tex]z = 1.645[/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.

In this problem:

We need to have a sample of at least n.

n is found when [tex]M = 0.9, \sigma = 1.5[/tex]. So

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

[tex]0.9 = 1.645*\frac{1.5}{\sqrt{n}}[/tex]

[tex]0.9\sqrt{n} = 1.645*1.5[/tex]

[tex]\sqrt{n} = \frac{1.645*1.5}{0.9}[/tex]

[tex](\sqrt{n})^{2} = (\frac{1.645*1.5}{0.9})^{2}[/tex]

[tex]n = 7.51[/tex]

Rounding up

We need a sample of at least 8 men.

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