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Its usually a sample proportion($\hat{p}$), not the p( true population proportion) this is known.\\  \subsection{standard deviation vs Standard error}  since we often dont know p, we cant find the true standard deviation, so we use an estimate called the $\textbf{standard error}$\\  \[SE(\hat{p})=\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}\\ \[SE(\hat{p})=\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}\]\\