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:"
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:
"=\\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."
"{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"
Comments
Leave a comment