Sampling Distributions / Section 03: The Central Limit Theorem

Tags

data, Data Sense, statistics, lecture, data analysis, data science, Kendall Hunt, Kendall Hunt Publishing Company, sampling, sampling distributions, Central Limit Theorem, CLT, standard error, expected mean

Description:

Lecture video for “Data Sense: An Introduction to Statistics for the Behavioral Sciences” by Barton Poulson. This video covers Chapter 06: Sampling Distributions, Section 03: The Central Limit Theorem. It explains how the shape, mean, and standard deviation are described by the Central Limit Theorem and how each aspect relates to the original distribution. The book and complete set of videos may be purchased at http://kendallhunt.com/poulson/.