Answer:
n=237
Step-by-step explanation:
Previous concepts
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
Assuming the X follows a normal distribution
[tex]X \sim N(\mu, \sigma=112.2)[/tex]
We know that the margin of error for a confidence interval is given by:
[tex]Me=z_{\alpha/2}\frac{\sigma}{\sqrt{n}}[/tex] (1)
The next step would be find the value of [tex]\z_{\alpha/2}[/tex], [tex]\alpha=1-0.96=0.04[/tex] and [tex]\alpha/2=0.02[/tex]
Using the normal standard table, excel or a calculator we see that:
[tex]z_{\alpha/2}=2.054[/tex]
If we solve for n from formula (1) we got:
[tex]\sqrt{n}=\frac{z_{\alpha/2} \sigma}{Me}[/tex]
[tex]n=(\frac{z_{\alpha/2} \sigma}{Me})^2[/tex]
And we have everything to replace into the formula:
[tex]n=(\frac{2.054(112.2)}{15})^2 =236.05[/tex]
And if we round up the answer we see that the value of n to ensure the margin of error required [tex]\pm=15 min[/tex] is n=237.