Controlling for a variable is the act of deliberately varying the experimental conditions in order to take a single variable into account in the prediction of the outcome variable. Controlling tends to reduce the experimental error. A control is something that does not change in the experiment.
They shouldn't, ever. It defies the whole point of a controlled experiment.
An experiment of any kind can have infinitely many variables. A controlled experiment can have just as many, provided that all but one are kept exactly the same.
You can only change ONE at a time. That's what makes it controlled. It's the only sure way to know what actually changed the experiment.
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It depends on the experiment. Normally only one is tested at a time because they can affect the experiment. Variables are tested in a controlled experiment to see whether they affect the outcome and also how.
There are three types of variables tested: manipulated variables, controlled variables, and experimental variables.
one
to gather data from data to create an controlled experiment
to gather data from data to create an controlled experiment
to gather data from data to create an controlled experiment
In a controlled experiment only 1 variable is being tested.
In a controlled experiment, only one independent variable should be changed at a time while keeping all other variables constant, or controlled. This approach allows researchers to isolate the effects of the independent variable on the dependent variable, ensuring that any observed changes are due to the manipulation of that specific variable. Changing multiple variables simultaneously could lead to ambiguous results and make it difficult to draw clear conclusions.