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A large on-demand, video streaming company is designing a large-scale survey to determine the mean amount of time corporate executives watch on-demand television. A small pilot survey of 10 executives indicated that the mean time per week is 12 hours, with a standard deviation of 3 hours. The estimate of the mean viewing time should be within 0.25 hour. The 95% level of confidence is to be used. How many executives should be surveyed? (Use z Distribution Table.)

How many executives should be surveyed? (Round the final answer to the next whole number.)

User Adroste
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2 votes

Answer:

554 executives should be surveyed.

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 - 0.95)/(2) = 0.025

Now, we have to find z in the Z-table as such z has a p-value of
1 - \alpha.

That is z with a pvalue of
1 - 0.025 = 0.975, so Z = 1.96.

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.

Standard deviation of 3 hours.

This means that
\sigma = 3

The 95% level of confidence is to be used. How many executives should be surveyed?

n executives should be surveyed, and n is found with
M = 0.25. So


M = z(\sigma)/(√(n))


0.25 = 1.96(3)/(√(n))


0.25√(n) = 1.96*3


√(n) = (1.96*3)/(0.25)


(√(n))^2 = ((1.96*3)/(0.25))^2


n = 553.2

Rounding up:

554 executives should be surveyed.

User Gert Arnold
by
7.7k points
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