The trick to designing a good experiment is to figure out a way for it to test
the effects of only one variable, and to avoid any effects of others.
There are three types of variables tested: manipulated variables, controlled variables, and experimental variables.
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.
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In a controlled experiment only 1 variable is being tested.
There are three types of variables tested: manipulated variables, controlled variables, and experimental variables.
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.
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Only the one being tested
In a controlled experiment only 1 variable is being tested.
Just one at a time
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There are many different things that are measured and tested by the data collected in an experiment. Color changes are one thing that can be measured and tested for example.
In a single experiment, it's generally recommended to test only one independent variable at a time to establish clear cause-and-effect relationships. Testing multiple variables simultaneously can complicate results and make it difficult to identify which variable is responsible for any observed changes. However, in some experimental designs, such as factorial experiments, multiple variables can be tested together, but this requires careful planning and analysis.
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.