You need to control variables in an experiment so as to make sure that only the variable you are testing and changing is the one affecting the results of your experiment. For example, in an experiment to find the effect of light intensity on the rate of photosynthesis of plant, you'll change light by putting a plant in sun and another in dark but you must not change carbon dioxide level for both plants so by that you have controlled other variables in the experiment(variables which must be the same always in the experiment).
It is important because those are the things that help you manipulate the manipulated variable
When performing an experiment it is very important to have a control set. It is important to have a control set because it ensures that the experiment can be repeated as many times as necessary.
To understand this you need to remember that the independent variable is a condition that you can change, and the dependent variable is the outcome that you see. If you have two independent variables, and you change both during an experiment, how are you going to tell which one caused the change to the outcome? So, you only change one independent variable at a time.
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It's important to control your experiment so that you can be sure the results are due to the experimental variable (independent variable) and not something else.
so that it doesn't go out of control
So that you can know what is the manipulating variable, the controlling variable, and the responding variable! To control the variables!
It is so that the experiment is a fair test. In order to protect the integrity and / or accuracy of the experiment and its results, you have to be able to control all the variables so that you know exactly why something is happening. If you do not control the variables, then one of them could be the reason for the results, and you won't be sure why you got the results you did.
It is so that the experiment is a fair test. In order to protect the integrity and / or accuracy of the experiment and its results, you have to be able to control all the variables so that you know exactly why something is happening. If you do not control the variables, then one of them could be the reason for the results, and you won't be sure why you got the results you did.
It is so that the experiment is a fair test. In order to protect the integrity and / or accuracy of the experiment and its results, you have to be able to control all the variables so that you know exactly why something is happening. If you do not control the variables, then one of them could be the reason for the results, and you won't be sure why you got the results you did.
so that you don't mess up, and something could go wrong while you'r doing the experiment.
The main possible advantage is that in an experiment, it is possible to control some of the variables so that it is easier to measure the effect of key variables. In observational studies, no such control is possible.
When performing an experiment it is very important to have a control set. It is important to have a control set because it ensures that the experiment can be repeated as many times as necessary.
To understand this you need to remember that the independent variable is a condition that you can change, and the dependent variable is the outcome that you see. If you have two independent variables, and you change both during an experiment, how are you going to tell which one caused the change to the outcome? So, you only change one independent variable at a time.
Well, I believe the control group acts as a standard for comparison in an experiment because it does not change, so it can be compared to the variables that do change.
so that it doesn't go out of control
It's important to control your experiment so that you can be sure the results are due to the experimental variable (independent variable) and not something else.
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