Nielsen Media Research wants to estimate the mean amount of time, in minutes, that full-time college students spend texting each weekday.Find the sample size necessary to estimate that mean with a 15 minute margin of error. Assume that a 96% confidence level is desired and that the standard deviation is estimated to be 112.2 minutes.

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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.

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