Data Analysis Basics: Variables and Distribution

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Continuous variables are always nu-meric and theoretically can be any number, positive or negative (in real-ity, this depends upon the variable). Examples of continuous variables are age in years, weight, blood pressure readings, indoor and outdoor tem-perature, concentrations of pollutants in the air or water, and other measure-ments.

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