![]() ![]() For example, if you run a t-test for comparing the mean of two groups after transforming the data, you cannot simply say that there is a difference in the two groups’ means. Note that transformation makes the interpretation of the analysis much more difficult. If both tests lead you to the same conclusions, you might not choose to transform the outcome variable and carry on with the test outputs on the original data. In the situation where the normality assumption is not met, you could consider running the statistical tests (t-test or ANOVA) on the transformed and non-transformed data to see if there are any meaningful differences. ![]()
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