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the methods weve been talking about including t-tests assume normal population distributions and although we can show by simulation that that particular assumption that the population distributions are normal is not particularly important still there are things that we can sometimes do to make our data look more normal so that we can better support the methods that we want to use even if a t-test does not rely that heavily on normality if we can make the normality assumption more true that can only be a good thing anytime your data consists of distances or times or money any value that has to be positive its very likely that if you were to make a histogram of those values it would look like this in other words it would be skewed toward the right now as a side note I personally always found this term confusing because it looks to me like this is a distribution leaning toward the left so the best way to remember this is just its the opposite of the way its leaning this is a right sk
