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difference between dependent variables and independent variables

difference between dependent variables and independent variables

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The independent variable is the variable that affects or influences the experimenter, which is believed to have a significant influence on the variable based. Gender and educational degree are two examples of normal, independent variables.

The dependent variable is the variable being evaluated and calculated in an experiment that is 'dependent' on the variable that is independent. The example of a dependent variable is signs of depression, depending on the independent variable.

The difference between an independent and dependent variable is that the independent variable is the component that the scientist in the experiment is modifying intentionally and the dependent variable is the evidence that the experiment produces. The two factors used in scientific studies are independent and contingent variable. Within a scientific trial the independent variable is changed or regulated. The independent variable changes have an effect on the dependent variable. The independent variable is direct cause of the experiment 's outcome. The dependent variable is called "dependent" since the results of the test procedure are measured only by the shifts in the independent variable.

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