Answer to Question #111173 in Statistics and Probability for happy45

Question #111173
[img]https://upload.cc/i1/2020/04/21/c0JHCK.jpg[/img]


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Expert's answer
2020-04-27T18:29:51-0400

We need to construct the 98% confidence interval for the population proportion. 

The sample proportion is computed as follows, based on the sample size "N=200" and the number of favorable cases "X=144:"


"\\hat{p}={X \\over N}={144 \\over 200}=0.72"

The critical value for "\\alpha=0.02" is "z_c=z_{1-\\alpha\/2}=2.326." The corresponding confidence interval is computed as shown below:


"CI(Proportion)="

"=\\big(\\hat{p}-z_c\\sqrt{{\\hat{p}(1-\\hat{p}) \\over N}},\\hat{p}+z_c\\sqrt{{\\hat{p}(1-\\hat{p}) \\over N}}\\big)="

"=\\big(0.72-2.326\\sqrt{{0.72(1-0.72) \\over 200}},0.72+2.326\\sqrt{{0.72(1-0.72) \\over 200}}\\big)\\approx"

"\\approx(0.646,0.794)"

Therefore, based on the data provided, the 98% confidence interval for the population proportion is "0.646<p<0.794," which indicates that we are 98% confident that the true population proportion "p"  is contained by the interval "(0.646,0.794)."


b) The critical value for "\\alpha=0.05" is "z_c=z_{1-\\alpha\/2}=1.96."


"E=z_c\\sqrt{{\\hat{p}(1-\\hat{p}) \\over N}}\\leq0.05"

"{0.72(1-0.72) \\over N}\\leq({0.05 \\over 1.96})^2"

"N\\geq{0.72(1-0.72)(1.96)^2 \\over (0.05)^2}"

"N\\geq310"


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