It is a matter of certainty. If you change only one variable and the outcome differs, then you may safely assume that the change in the one variable was responsible for that change in outcome. If you change more than one, then how would you know what was responsible?
You wouldn't. You would be left guessing. One of the objectives of good science is reduce the guesswork down to as close to zero as possible.
this is an experiment that only one varible is manipulated at a time
It (really) simplifies the math.
It is the variables you will not change to keep the experiment a fair test, they should be kept constant to show how your independent variable affects your dependant variable.
Scientists test hypothesis by setting up an experiment. They choose a independent and a dependent variable and test the experiment.
Ideally, an experiment should test only one variable (the independent variable) at a time. If you have two or more variables changing at the same time you have no way of knowing which variable is causing your results.
This variable is chosen by the research team according to the experiment project.
Independent variable : )
The independent variable.
An experiment in which only one variable changes is called an "controlled experiment" or "single-variable experiment." In this type of experiment, the researcher manipulates one variable (independent variable) while keeping all other variables constant to determine its effect on the outcome (dependent variable). This approach helps to isolate the impact of that single variable on the results.
The independent variable.
Independent variable
A variable test?
It is usually recommended to test one variable at a time in an experiment to accurately determine its effect. This helps to isolate the impact of that specific variable and avoid confounding results from multiple factors changing simultaneously.
it is a fair test
If you want to test your hypothesis with a controlled experiment, you should make sure you have only one variable.
If you test only one variable then you know that the difference in the experimental and control setup is that one independent variable. If you test more than one you will not know which one made the difference.
this is an experiment that only one varible is manipulated at a time