Sampling distribution and the central limit theorem.

Billy Jack explains the central limit theorem, stating that the average of a random sample from any population tends to be normally distributed regardless of the original population's distribution, as the sample size increases.

Bibliographic Details

Other Authors:	Jack, Billy (academic.)
Format:	Video
Language:	English
Language Notes:	Closed-captioned in English.
Published:	[Washington, D.C.] : Georgetown University, 2020.
Series:	Statistical concepts ; 8.
Subjects:	Central limit theorem. Théorème central limite.
Online Access:	Connect to this streaming video