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The methods discussed assume normal population distributions, but making data appear more normal can support their use. Even if a t-test doesn't heavily rely on normality, it's beneficial to make the assumption more true. Data involving positive values like distances or times often exhibit right skewness. Remember that a right-skewed distribution leans towards the left.
