Hypothesis Testing / Section 02: Effect Sizes

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data, Data Sense, statistics, lecture, data analysis, data science, Kendall Hunt, Kendall Hunt Publishing Company, inferential statistics, hypothesis testing, null hypothesis significance testing, statistical significance, statistically significant, alternate hypothesis, alternative hypothesis, experimental hypothesis, null hypothesis, effect size, Cohen’s d

Description:

Lecture video for “Data Sense: An Introduction to Statistics for the Behavioral Sciences” by Barton Poulson. This video covers Chapter 08: Hypothesis Testing, Section 02: Effect Sizes. It explains how Cohen’s d, which is related to the z-score formula, can be used to describe the distance between a sample mean and a population mean without being affected by sample size. The book and complete set of videos may be purchased at http://kendallhunt.com/poulson/.