ch 6 studyguide

ch 6 studyguide - Erin Semple 1. Why can decision errors...

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Erin Semple 1. Why can decision errors occur even when a researcher uses all the right procedures? Decision errors occur even when a researcher uses the right procedures because a null hypothesis is rejected when there is a small possibility (or probability) of the sample being a part of distribution if the null hypothesis is true. However, there is never zero probability of the sample being a part of the distribution if the null hypothesis is true, therefore, it could still be a part of the distribution even though the chances are slim. 2. Explain the differences between Type I and Type II errors. When do they occur? Why do they happen? How are they related? Type I errors occur if the null hypothesis is rejected when the null hypothesis was actually true. A Type II error occurs if the null hypothesis is not rejected when the null hypothesis is actually false. The larger the significance level, the easier it is to make a Type I error. The opposite is true for a Type II error. The two are related because if you make the significance level smaller to minimize your chances of getting a Type I error, you are in effect increasing the chances of making a Type II error. One must therefore try to find a balance between the two. 3. What is an effect size, and why is this important to know? An effect size is the difference
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This note was uploaded on 05/05/2011 for the course PSY 293 taught by Professor Dr.hall during the Fall '09 term at Miami University.

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ch 6 studyguide - Erin Semple 1. Why can decision errors...

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