What is the central limit theorem?

a. It explains that sample means will vary minimally from the population mean.

b. It explains that regardless of the distribution of scores in a population, the sampling distribution of sample means selected at random from that population will approach the shape of a normal distribution, as the number of samples in the sampling distribution increases.

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.