states that if the sample size is large enough, the sampling distribution of the mean is approximately normally distributed, regardless of the distribution of the population and that the mean of the sampling distribution will be the same as that of the population.
A) Chebyshev's theorem
B) Central limit theorem
C) Prime number theorem
D) Oppermann's conjecture

Question

Quizplus · Accepted Answer

The Central Limit Theorem (CLT) states that the sampling distribution of the sample mean will be approximately normally distributed, regardless of the population's distribution, provided the sample size is sufficiently large. It also states that the mean of the sampling distribution will be equal to the population mean.

States That If the Sample Size Is Large Enough, the Sampling