Sampling variability and CLT for proportions.

Dr. Mine Cetinkaya-Rundel discusses the sampling distribution for a sample proportion, defines the central limit theorem for proportions, and explains the conditions for that central limit theorem to hold.

Bibliographic Details

Other Authors:	Çetinkaya-Rundel, Mine (academic.)
Format:	Video
Language:	English
Language Notes:	Closed-captioned in English.
Published:	[Durham, North Carolina] : Duke Learning Innovation, 2016.
Series:	Inferential statistics ; 27.
Subjects:	Sampling (Statistics) Central limit theorem. Échantillonnage (Statistique) Théorème central limite.
Online Access:	Connect to this streaming video