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Without a control group, what would you compare your results to? How would you know if the treatments had any effect? Without a control group, there is no basis for knowing if a particular result is due to the variable being tested or to some other factor.

The control group gives a set where the expected outcome is known. So when a variable is changed and if the outcome is the same as the control group, then we know to try a different variable.

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Related Questions

Why is is it important that an experiment include a control group?

a control group assures that an experiment will be repeatable


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A control group is the standard of comparison between what happens with the experimental variable and without the experimental variable.


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Control is important in an experiment to eliminate the influence of variables other than the one being tested. By having a control group that is not exposed to the experimental treatment, researchers can accurately gauge the true effect of the independent variable on the outcome. This allows for valid and reliable conclusions to be drawn from the experiment.


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the group that does not change in the experiment VIVI :)


The group that does not receive the experimental treatment in an experiment is the?

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the answer to that question is the control group has nothing to do with the independent variable because a control group is some thing in your experiment that has not changed through out your experiment. And a independent variable is some thing in your experiment that you change through your experiment(s)


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