Resource that explains the importance of the significance level in hypothesis testing, statistical significant results and significance levels, and type I and errors and level of significance.
Covers topics of type I and II errors and significance levels. Common mistakes for these topics are given and the reasons they are incorrect are explained.
Text resource that covers what type I and II errors are, how to Calculate an Alpha Level for one- and two-tailed tests, and why an Alpha Level of .05 commonly used. There is also a video included at the beginning of the video to explain the topics.
Resource that covers what significance testing is and what it is used for. Describes the significance level and how it relates to the p-value with respect to hypothesis testing. A glossary of key concepts and terms is included at the end of the document.
