Significance - Significance ?Thestatistician's , chance.,usingseveralterms:probability,

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Significance How do you know how much confidence to put in the outcome of a hypothesis test? The statistician's  criterion is the  statistical significance  of the test, or the likelihood of obtaining a given result by  chance. This concept has been spoken of already, using several terms: probability, area of the curve,  Type I error rate, and so forth. Another common representation of significance is the letter  p  (for  probability) and a number between 0 and 1. There are several ways to refer to the significance level  of a test, and it is important to be familiar with them. All of the following statements, for example, are  equivalent:  The finding is significant at the 0.05 level. The confidence level is 95 percent. The Type I error rate is 0.05. The alpha level is 0.05.  = 0.05.
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This note was uploaded on 11/15/2011 for the course QMST 2333 taught by Professor Mendez during the Fall '08 term at Texas State.

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Significance - Significance ?Thestatistician's , chance.,usingseveralterms:probability,

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