Here, we introduce the mean and standard deviation of the sampling
distribution of 
and the relationship between
the sampling distribution of and the normal distribution.
is the distribution of the mean number of
successes. It has a mean equal to the population proportion.
is equal to the population proportion. It is 
.
![p = sqrt[p(1-p)/N] = sqrt[(.75)(.25)/10] = .137](https://dev.saylor.org/filter/tex/pix.php/56a8bf0a08b21f582011e7d99141cc59.svg "p = sqrt[p(1-p)/N] = sqrt[(.75)(.25)/10] = .137")