Type One and Type Two Errors

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REVIEW OF KEY CONCEPTS: TYPE I AND TYPE II ERRORS

What is a Type I error? A Type II error?
Answers:
A Type I error occurs when you reject a true
null hypothesis or when you think you have found a
difference; but, in reality, there is not one. It is equal
to the p value when you reject the null hypothesis.

A Type II error is when you fail to reject the
null hypothesis when there is in fact a difference
between groups. In this text, we do not compute
the exact probability of a Type II error.

Drawn From
Research Methods, Statistics, and ApplicationsThis material is drawn from the SAGE Publishing text, Research Methods, Statistics, and Applications, by Kathrynn Adams and Eva Lawrence. The book consistently integrates methods and statistics to prepare students for both graduate work and critical analysis of research as professionals and informed citizens; while also maintaining the conversational writing style, multiple examples, and hands-on applications of key concepts.

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