IMED2003 Final: IMED2003 Revision 55 Notes
13 Feb 2019
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When statistics are used to determine what the probability of a given hypothesis is true. Find out which test statistic can assess how true the null hypothesis is. This is the probability that the test statistic is significant as the one that is being observed, would be obtained assuming that h0 is true. Small the p value stronger the evidence is against h0. Since all of the conclusions are made with respect to some degrees of probability: Errors in hypothesis testing type 1 error. If the p-value <0. 05, we reject the null hypothesis. But, by definition, there is still some chance of having obtained the sample mean we obtained if the null hypothesis were true. So there is a few % chance we drew the wrong conclusion. Errors in hypothesis testing type 2 error. The probability of failing to reject the null hypothesis when it is actually.
