The Central Limit Theorem can be applied to the sample proportion.

Question

Quizplus · Accepted Answer

The Central Limit Theorem can indeed be applied to the sample proportion, stating that as the sample size increases, the sampling distribution of the sample proportion becomes approximately normal with mean equal to the population proportion and standard deviation equal to the square root of [(population proportion x (1 - population proportion)) / sample size]. This allows for the use of inferential statistical methods, such as confidence intervals and hypothesis testing, for population proportions based on sample proportions.

The Central Limit Theorem Can Be Applied to the Sample