a) we have to construct 90% confidence interval for population proportion.We have been provided with following information .
X= 412
N= 768
The sample proportion is computed as follows, based on the sample size N = 768 and the number of favorable cases X = 412
"\\widehat{p}= \\frac{X}{N}" = "\\frac{412}{768}" = 0.536
Using z table , the critical value for α=0.1 is "z_c = z_{1-\\alpha\/2} = 1.645" . The corresponding confidence interval is computed as shown below
"[\\widehat{p}- {Z_{c}*}\\sqrt{\\frac{\\widehat{p}(1-\\widehat{p})}{n}},\\widehat{p}+{Z_{c}*}\\sqrt{\\frac{\\widehat{p}(1-\\widehat{p})}{n}}]"
"[0.536- {1.645*}\\sqrt{\\frac{0.536(1-0.536)}{768}},0.536+ {1.645*}\\sqrt{\\frac{0.536(1-0.536)}{768}}]"
[0.507,0.566]
b)we have to construct 95% lower confidence bound for population proportion.We have been provided with following information .
X= 412
N= 768 and "\\widehat{p}" = 0.536
Using Z table the critical value for α=0.05 is "z_c = z_{1-\\alpha\/2} = 1.96"
Lower confidence bound is given by
"\\widehat{p}- {Z_{c}*}\\sqrt{\\frac{\\widehat{p}(1-\\widehat{p})}{n}} < p"
"0.536- {1.96*}\\sqrt{\\frac{0.536(1-0.536)}{768}} < p"
0.501 <p
Hence the lower bound of the confidence interval is 0.501
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