When this assumption is violated and the sample sizes differ among groups, the p value for the overall F test is not trustworthy.Homogeneity of variances (i.e., variances approximately equal across groups).Among moderate or large samples, a violation of normality may yield fairly accurate p values.Non-normal population distributions, especially those that are thick-tailed or heavily skewed, considerably reduce the power of the test.Normal distribution (approximately) of the dependent variable for each group (i.e., for each level of the factor).Random sample of data from the population.no subject in either group can influence subjects in the other group.subjects in the first group cannot also be in the second group.There is no relationship between the subjects in each sample.Independent samples/groups (i.e., independence of observations).Cases that have values on both the dependent and independent variables.Independent variable that is categorical (i.e., two or more groups).Dependent variable that is continuous (i.e., interval or ratio level).Your data must meet the following requirements:
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