In an experiment using 30 mice, the sample proportion of the mice that gained weight after a drug injection is 0.65. What is the 99.7% confidence interval for the actual proportion in the population?
The confidence interval for the actual proportion will have the form \[\hat{p}\pm Z_{\alpha/2}\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}\] where \(\hat{p}\) is the sample proportion, 0.65, and \(Z_{\alpha/2}\) is the cutoff values, so the speak, for the \(\alpha\) significance level, for which \(1-\alpha=99.7\%\) The 99.7% CI will thus be \[\left(0.65-Z_{.0015}\sqrt{\frac{0.65\times0.35}{30}},0.65+Z_{.0015}\sqrt{\frac{0.65\times0.35}{30}}\right)\] According to this chart ( http://4.bp.blogspot.com/_5u1UHojRiJk/TEh9BHxxPUI/AAAAAAAAAIQ/DafeQNMYFoE/s1600/ztable.gif), \(Z_{.0015}=2.96\), so the CI is \[\left(0.65-0.2578,0.65+0.2578\right)~~\Rightarrow~~\left(0.3922,0.9078\right)\]
i still don't understand what is the Z for?
I think it's best understood if you have a drawing of a curve: |dw:1399600470826:dw| The shaded area is contained by the confidence interval I found.
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