Hypothesis Testing / Section 08: Accuracy and Error

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, Type II errors, false positives, false negatives
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 08: Accuracy and Error. It explains the connections between samples and their corresponding populations and how the resulting decision can be accurate or can lead to false positives, known as “Type I errors” or false negatives, or “Type II errors.” The book and complete set of videos may be purchased at http://kendallhunt.com/poulson/.