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(1 classification)
(65 resources)
Resources
This page, created by Kyle Siegrist of the University of Alabama - Huntsville, introduces likelihood ratio tests by giving the Neyman-Pearson lemma and several examples. The examples include a gamma model, a binomial...
As the page opens, you will be prompted to enter two sample size values, na and nb. If the samples are of different sizes, the larger of the two should be designated as sample A. If you are starting out with raw...
In the first simulation, random samples of size n are drawn from the population one sample at a time. With df=3, the critical value of chi-square for significance at or beyond the 0.05 level is 7.815; hence, any...
This tutorial, created by Thomas W. MacFarland of Nova Southeastern University, explains the theory and use of One-Way ANOVA and demonstrates it with an example on final exam scores. Data sets are provided in both SPSS...
This resource, created by author Will G. Hopkins, defines what a p-value is, why .05 is significant, and when to use it. It also covers related topics such as one-tailed/two-tailed tests and hypothesis testing. Overall,...
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