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It is desired to estimate the average time it takes Statistics students to finish a computer project to within two hours at 90% reliability. It is estimated that the standard deviation of the times is 14 hours. How large a sample should be taken to get the desired interval? n = 231 n = 189 n = 325 n = 133

Sagot :

Answer:

n = 133.

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 Z-table as such z has a p-value of [tex]1 - \alpha[/tex].

That is z with a pvalue of [tex]1 - 0.05 = 0.95[/tex], so Z = 1.645.

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.

Standard deviation of the times is 14 hours.

This means that [tex]\sigma = 14[/tex]

How large a sample should be taken to get the desired interval?

Within 2 hours, which means that we want n for which M = 2. So

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

[tex]2 = 1.645\frac{14}{\sqrt{n}}[/tex]

[tex]2\sqrt{n} = 1.645*14[/tex]

Dividing both sides by 2

[tex]\sqrt{n} = 1.645*7[/tex]

[tex](\sqrt{n})^2 = (1.645*7)^2[/tex]

[tex]n = 132.6[/tex]

Rounding up, n = 133.