One Way Anova Hypothesis Example. H 0 null hypothesis. In one way anova the interest lies in testing the null hypothesis that the category means are equal in the population.
In statistics one way analysis of variance abbreviated one way anova is a technique that can be used to compare means of two or more samples using the f distribution this technique can be used only for numerical response data the y usually one variable and numerical or usually categorical input data the x always one variable hence one way. At least one population mean is different from the rest. The null hypothesis is that the means are all equal the alternative hypothesis is that at least one of the means is different think about the sesame street game where three of these things are kind of the same but one of these things is not like the other.
Mean1 mean2 mean3 meanx under the null hypothesis ssx and sserror come from the same source of variation.
H 0 null hypothesis. Specifically it tests the null hypothesis. In one way anova the interest lies in testing the null hypothesis that the category means are equal in the population. Investigators might also hypothesize that there are differences in the outcome by sex.
