The standard error of the sampling distribution of a sample proportion is $\sqrt { \frac { p ( 1 - p ) } { n } } \text { where } p$ p is the sample proportion.

Name: The standard error of the sampling distribution of a sample proportion is $\sqrt { \frac { p ( 1 - p ) } { n } } \text { where } p$ p is the sample proportion.
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The standard error of the sampling distribution of a sample proportion is $\sqrt { \frac { \hat{p} ( 1 - \hat{p} ) } { n } }$, where $\hat{p}$ is the sample proportion, not $p$.

The Standard Error of the Sampling Distribution of a Sample p(1−p)n where p\sqrt { \frac { p ( 1 - p ) } { n } } \text { where } pnp(1−p)​​ where p

The Standard Error of the Sampling Distribution of a Sample $\sqrt { \frac { p ( 1 - p ) } { n } } \text { where } p$