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Independent variable

Independent variable

In statistical research, an independent variable is a factor that is being manipulated by the experimenter by controlling the varying amounts (of the IV) to specific individuals in the study.   The dependent variable is measured to determine if the manipulation of the independent variable had any effect. 

The terms "dependent variable" and "independent variable" are used in similar but subtly different ways in mathematics and statistics as part of the standard terminology in those subjects. They are used to distinguish between two types of quantities being considered, separating them into those available at the start of a process and those being created by it, where the latter (dependent variables) are dependent on the former (independent variables).

AKA: predictor variable, controlling variable, manipulated variable, explanatory variable, exposure variable, input variable, the cause and/or a factor.

Examples: If one were to measure the influence of different quantities of fertilizer on plant growth, the independent variable would be the amount of fertilizer used (the changing factor of the experiment). The dependent variables would be the growth in height and/or mass of the plant (the factors that are influenced in the experiment) and the controlled variables would be the type of plant, the type of fertilizer, the amount of sunlight the plant gets, the size of the pots, etc. (the factors that would otherwise influence the dependent variable if they were not controlled).

I
n a study of how different
doses of a drug affect the severity of symptoms, a researcher could compare the frequency and intensity of symptoms (the dependent variables) when different doses (the independent variable) are administered, and attempt to draw a conclusion.