What is the central limit theorem?
A) It explains that sample means will vary minimally from the population mean.
B) It explains that a sampling distribution of possible sample means is approximately normally distributed, regardless of the shape of the distribution in the population.
C) It explains that if we select a sample at random, then on average we can expect the sample mean to equal the population mean.
D) All of these.

Question

Quizplus · Accepted Answer

The Central Limit Theorem states that as sample size increases, the sampling distribution of the means of multiple samples drawn from a population will approximate a normal distribution, regardless of the shape of the population distribution.

What Is the Central Limit Theorem