Central Limit Theorem for Proportions

When you take samples from a population and compute a proportion from each one, you can consider the distribution of those proportions. This is called the sampling distribution for the population proportion.

The Central Limit Theorem tells us that the sampling distribution for the population proportion is Select an answer approximately normal skewed right uniform skewed left with the Select an answer true population proportion true population standard deviation true population mean as its Select an answer proportion mean standard deviation .

The mean of the sampling distribution is given by Preview Question 6 Part 4 of 5   .

If the samples have size $\displaystyle {n}$, then the standard deviation of the sampling distribution is given by Preview Question 6 Part 5 of 5   .