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The methods discussed, such as t-tests, typically assume normal population distributions. While simulation shows that normality isn't crucial, it's helpful to make data appear more normal. Even though t-tests are not heavily reliant on normality, improving the assumption can be beneficial. Data involving positive values like distances, times, or money often exhibit right-skewed histograms. Despite the term being confusing, "right skew" means the distribution leans to the right, opposite of the visual appearance.
