Raw data on its own is not meaningful because of differences between units (such as state population) Converting raw data to a meaningfully comparable form is called:

Question

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Normalization is the process of converting raw data to a form that allows for meaningful comparison by adjusting for differences in units or scales, such as adjusting state populations to per capita figures.

Raw Data on Its Own Is Not Meaningful Because of Differences