Hypothesis Testing / Section 09: Type I Errors

Tags

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, Type I errors, false positives, alpha level, alpha region

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 09: Type I Errors. It explains how the probabilities for Type I errors, or false positives, are derived from the null distribution. The book and complete set of videos may be purchased at http://kendallhunt.com/poulson/.