Assertion: sample's distribution | /r/CapableOf | approach normal distribution
Facets:
Source sentences:
text: What is remarkable is that regardless of the shape of the parent population, the sampling distribution of the mean approaches a normal distribution as N increases.
text: In addition, the sampling distribution of the mean will approach a normal distribution.
text: The Central Limit Theorem states that the sampling distribution of the mean approaches a normal distribution
text: This is the central limit theorem : As sample size increases, the sampling distribution of the mean approaches a normal distribution.
text: What is remarkable is that regardless of the shape of the parent population, the sampling distribution of the mean approaches a normal distribution as N increases.
text: The central limit theorem states that the sampling distribution of the mean approaches a normal distribution, as the sample size increases.
text: The profundity of the Central Limit Theorem: As sample size gets larger, even if you start with a non-normal distribution , the sampling distribution approaches a normal distribution.
text: The central limit theorem (CLT) says that the sampling distribution of xbar will approach a normal distribution, namely N(m, s/Ön), if the sample size is large.
text: In addition, as the sample size increases, the distribution of the means will approach the normal distribution.