how are dependent and independent variables related?
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The independent and dependent variables are the two key variables in a science experiment. The independent variable is the one the experimenter controls. The dependent variable is the variable that changes in response to the independent variable. The two variables may be related by cause and effect.
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Dependent and independent variables. From Wikipedia, the free encyclopedia. In an experiment, the variables used can be classed as either dependent or independent variables. The dependent variable is the possible outcome of the experiment; the effect. It depends on what happens to other variables in the experiment.
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The dependent variable is the outcome. In an experiment, it may be what was caused or what changed as a result of the study. ... It is a special type of independent variable. The independent variable's relationship with the dependent variable may change under different conditions. That condition is the moderator variable.
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Summary: Independent vs Dependent Variable The independent variable is what you change, and the dependent variable is what changes as a result of that. You can also think of the independent variable as the cause and the dependent variable as the effect.
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The dependent variable is the variable a researcher is interested in. An independent variable is a variable believed to affect the dependent variable. Confounding variables are defined as interference caused by another variable.
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The dependent variable is the variable a researcher is interested in. The changes to the dependent variable are what the researcher is trying to measure with all their fancy techniques. ... An independent variable is a variable believed to affect the dependent variable.
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They're independent of everything else. The dependent variable (sometimes known as the responding variable) is what is being studied and measured in the experiment. It's what changes as a result of the changes to the independent variable. An example of a dependent variable is how tall you are at different ages.
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A dependent variable is a variable that represents a quantity that changes based on other quantities being manipulated in an experiment. A independent variable represents a quantity that is being manipulated directly.
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The dependent variable is the variable that is being measured or tested in an experiment. For example, in a study looking at how tutoring impacts test scores, the dependent variable would be the participants' test scores, since that is what is being measured.
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In the social sciences, independent variables are typically thought of as being the cause, and dependent variables are often seen as being the effect. The independent variable, in other words, affects the dependent variable in some way.
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An independent variable is the variable you have control over, what you can choose and manipulate. Example: You are interested in how stress affects heart rate in humans. ... A dependent variable is the variable being tested in a scientific experiment. The dependent variable is 'dependent' on the independent variable.
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['The independent variable is the variable that is controlled and manipulated by the experimenter. For example, in an experiment on the impact of sleep deprivation on test performance, sleep deprivation would be the independent variable.', 'The dependent variable is the variable that is measured by the experimenter.']
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A dependent variable is a variable whose value depends upon independent variable s. ... The dependent variable is sometimes called "the outcome variable." In a simple mathematical equation, for example: a = b/c. the dependent variable, a , is determined by the values of b and c .
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In an experiment, the independent variable is the variable that is varied or manipulated by the researcher, and the dependent variable is the response that is measured. An independent variable is the presumed cause, whereas the dependent variable is the presumed effect.
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Dependent and Independent Variables An independent variable, sometimes called an experimental or predictor variable, is a variable that is being manipulated in an experiment in order to observe the effect on a dependent variable, sometimes called an outcome variable.
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These two variables are used alongside each other, and a change in the independent variable will translate to a change in the dependent variable. That is, they are similar in the sense that they change at the same time.
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You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause, while a dependent variable is the effect. In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable.