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Unformatted text preview: Errors, Practicality and Power in Hypothesis Testing Submitted by gfj100 on Wed, 11/11/2009 - 13:16 Errors in Decision Making Type I and Type II How do we determine whether to reject the null hypothesis? It depends on the level of significance , which is the probability of the Type I error. What is Type I error and what is Type II error? When doing hypothesis testing, two types of mistakes may be committed and we call them Type I error and Type II error. Decision Reality H is true H is false Reject H and conclude H a Type I error Correct Do not reject H Correct Type II error If we reject H when H is true, we commit a Type I error. The probability of type I error is denoted by alpha, (as we already know this is commonly 0.05) If we accept H when H is false, one commits a type II error. The probability of Type II error is denoted by Beta, : Our convention is to set up the hypotheses so that type I error is the more serious error....
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This note was uploaded on 05/31/2011 for the course STAT 200 taught by Professor Andyregards during the Spring '11 term at World College.
- Spring '11