Significance Level

  • 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.
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  • 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.
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  • Notes on hypothesis testing and how to interpret the p-value with respect to the significance level of a hypothesis test.
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  • 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.
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  • Definition of significance and the steps to determining the significance level of a test.
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  • Powerpoint that covers statistical testing and choosing the level of significance. It also shows statistical significance vs. practical significance.
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  • Covers many topics within Hypothesis Testing, with a section dedicated to Significance level.
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  • Simple definition of the level of significance, with an explanation as to how it differs from the confidence level.
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  • A joke to teach the meaning of type I error by University of Texas at El Paso professor of Mathematical Sciences, Lawrence Mark Lesser (1964-) and Ohio State Unviersity PRofessor of Statistics Dennis K. Pearl (1951-).

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  • A cartoon for use in teaching about the Normal distribution. The cartoon was drawn by Australian epidemiologist Matthew Freeman of the Public Health Information Development Unit at the University of Adelaide. It is free for use on course websites or in the classroom provided author acknowledgement is given (e.g. leave copyright statement on the image). Commercial uses should contact the copyright holder. The cartoon was also published under the title "A visual comparison of normal and paranormal distributions" in the Journal of Epidemiology and Community Health (2006) 60(1):6
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