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Sampling variability and CLT.

Dr. Mine Cetinkaya-Rundel introduces sampling distributions and the central limit theorem, explaining how random samples from a population create a distribution of means, and the central limit theorem predicts this distribution will be approximately normal for large enough samples.

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 ; 2.
Subjects:
Sampling (Statistics)
Central limit theorem.
Échantillonnage (Statistique)
Théorème central limite.
Online Access:Connect to this streaming video
Description
Summary:Dr. Mine Cetinkaya-Rundel introduces sampling distributions and the central limit theorem, explaining how random samples from a population create a distribution of means, and the central limit theorem predicts this distribution will be approximately normal for large enough samples.
Physical Description:1 online resource (1 video file (00:20:59)) : sound, colour.
ISBN:9781529694772
1529694779