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 statement given in the question refers to the Central Limit Theorem. Chebyshev's theorem is a different theorem that gives bounds on the proportion of data that falls within a certain number of standard deviations of the mean. The Prime Number theorem and Oppermann's conjecture have to do with patterns in prime numbers and are not related to statistics.

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