Hypothesis Testing / Section 05: Cohen’s d and p-values

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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, probability, probability values, p-values, 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 05: Cohen’s d and p-values. It explains how differences in effect size, as measured by Cohen’s d in these examples, can affect z-scores and p-values even when all other information is the same. The book and complete set of videos may be purchased at http://kendallhunt.com/poulson/.