![]() ![]() But note that not all statistics needs to be specifically a test. This statistics video tutorial explains when you should use a one tailed test vs a two tailed test when solving problems associated with hypothesis testing. If a relationship in either direction is of interest then you should do a two-tailed test, or if you will create a confidence interval and don't want it going to infinity in one direction, then you should do a two tailed test. One-Tailed Test: A one-tailed test is a statistical test in which the critical area of a distribution is one-sided so that it is either greater than or less than a certain value, but not both. If you a priori believe that if there is a relationship then it will only be in one direction (or that a relationship in the other direction will have the same results as no relationship) then a one-tailed test is appropriate. This statistics video tutorial explains when you should use a one tailed test vs a two tailed test when solving problems associated with hypothesis testing. When choosing between a one-tailed or two-tailed test, the decision is based on the science and the question, not the data. A one-tailed test takes the type I error rate () and applies it to only one side of the distribution: If the animation does not work, or if you want to examine. In our example experiment, you would use a one-tailed test only if you decided, before doing the experiment, that you were only interested in a result that had fecal transplants being better than vancomycin, not if fecal transplants were worse in other words, you decided ahead of time that your null hypothesis was that the proportion of sick fe. There are more options than just correlation for looking at inter-rater agreement, including values that can be calculated on multiple raters, see this Wikipedia article for some starting reading. ![]() It is not completely clear what you end goal is, are you interested in the agreement between raters? or in using the ratings to predict the test score? or the test score to predict the rater score? or something else? ![]()
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