An “independent variable” in statistics is a characteristic of a population (such as sex, race, or age) that researchers can manipulate to see how it affects the outcome of an experiment or study.
For example, researchers might measure the number of jelly beans people eat when they are given the opportunity to choose their own jelly beans, and then compare this number to the number of jellybeans people eat when they are given only a set amount of jelly beans.
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