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Every variable has a distribution, which is the way the scores are distributed across the levels of that variable. For example, in a sample of 100 college students, the distribution of the variable “number of siblings” might be such that 10 of them have no siblings, 30 have one sibling, 40 have two siblings, and so on. In the same sample, the distribution of the variable “sex” might be such that 44 have a score of “male” and 56 have a score of “female.”
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