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Generalization: Simplify Stereotypes

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Generalization is useful in research because the more data that is in hand, the more accurate a generalization can be. Generalizing means a few experiences that can signify a category for example because most criminals happen to be males a generalization could be said that only men commit crime. Generalizing could also simplify stereotypes. By using a way to measure numerical approaches with tables or graphs this helps to provide descriptions and this can be known as descriptive statistics. Inferential statistics could be based on predications based on samples from data taken from questions. It could be a hypothesis. And with predictive statistics it’s more of an approach to gather information from data that has already been collected to determine

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