(b) Construct and interpret a 90% confidence interval for the proportion of all parents of teens aged 13 to 17 who have checked which web sites their teens visit. By assuming the selected parents formed a random sample from the population of all parents of teens aged 13 to 17, we may construct a confidence interval for the population proportion. The confidence interval will have the following form where p is the sample proportion, the z critical value captures the central area equal to the confidence level as a proportion, and n is the sample size. p ± (z critical value) p(1 – p) We have already determined p = 0.64 and n= 1,030, so we must now determine the z critical value that will be used. For a 90% confidence interval, we will be capturing the central area of 0.90 under the z curve between -z* and z'. To find z", recall the entire area under the z curve is 1. The remaining area of 1 - 0.90 - 0.10 will be split evenly between the lower and upper tails of the curve. That is, both the lower and upper tails of the curve will each have an area of (0.10) = This will be added to the central area of 0.90, so the total area to the left of the desired z* is Use SALT to find the critical value of z, rounding the result to two decimal places.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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(b) Construct and interpret a 90% confidence interval for the proportion of all parents of teens aged 13 to 17 who have checked
which web sites their teens visit.
By assuming the selected parents formed a random sample from the population of all parents of teens aged 13 to 17, we may
construct a confidence interval for the population proportion. The confidence interval will have the following form where p is the
sample proportion, the z critical value captures the central area equal to the confidence level as a proportion, and n is the sample
size.
p ± (z critical value)
p(1 – p)
We have already determined p = 0.64 and n= 1,030, so we must now determine the z critical value that will be used. For a 90%
confidence interval, we will be capturing the central area of 0.90 under the z curve between -z* and z'.
To find z", recall the entire area under the z curve is 1. The remaining area of 1 - 0.90 - 0.10 will be split evenly between the lower
and upper tails of the curve. That is, both the lower and upper tails of the curve will each have an area of (0.10) =
This will be added to the central area of 0.90, so the total area to the left of the desired z* is
Use SALT to find the critical value of z, rounding the result to two decimal places.
Transcribed Image Text:(b) Construct and interpret a 90% confidence interval for the proportion of all parents of teens aged 13 to 17 who have checked which web sites their teens visit. By assuming the selected parents formed a random sample from the population of all parents of teens aged 13 to 17, we may construct a confidence interval for the population proportion. The confidence interval will have the following form where p is the sample proportion, the z critical value captures the central area equal to the confidence level as a proportion, and n is the sample size. p ± (z critical value) p(1 – p) We have already determined p = 0.64 and n= 1,030, so we must now determine the z critical value that will be used. For a 90% confidence interval, we will be capturing the central area of 0.90 under the z curve between -z* and z'. To find z", recall the entire area under the z curve is 1. The remaining area of 1 - 0.90 - 0.10 will be split evenly between the lower and upper tails of the curve. That is, both the lower and upper tails of the curve will each have an area of (0.10) = This will be added to the central area of 0.90, so the total area to the left of the desired z* is Use SALT to find the critical value of z, rounding the result to two decimal places.
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