Sampling Distributions / Section 04: z-Scores for Sample Means

Tags

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

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 04: z-Scores for Sample Means. It explains how sampling distributions and the Central Limit Theorem make it possible to calculate and compare z-scores for two different samples. The book and complete set of videos may be purchased at http://kendallhunt.com/poulson/.