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Nielson Media Research wants to estimate the mean amount of time (in minutes) that full-time college students spend watching television each weekday. Find the sample size necessary to estimate that mean with a 15-minute sampling error. Assume 96% confidence level is desired. Also assume that a pilot study showed that the standard deviation is estimated to be 112.2 minutes.

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3 votes

Answer:

The sample size necessary is 237.

Explanation:

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


\alpha = (1 - 0.96)/(2) = 0.02

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

That is z with a pvalue of
1 - 0.02 = 0.98, so Z = 2.056.

Now, find the margin of error M as such


M = z(\sigma)/(√(n))

In which
\sigma is the standard deviation of the population and n is the size of the sample.

Find the sample size necessary to estimate that mean with a 15-minute sampling error.

A sample size of n is necessary.

n is found when
M = 15

We have that
\sigma = 112.2

So


M = z(\sigma)/(√(n))


15 = 2.056(112.2)/(√(n))


15√(n) = 2.056*112.2


√(n) = (2.056*112.2)/(15)


(√(n))^2 = ((2.056*112.2)/(15))^2


n = 236.5

Rounding up,

The sample size necessary is 237.

User Miro Solanka
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