Controls are the things you leave the same when you do an experiment. Variables are the things you affect in an experiment to see if it makes a difference. It depends on the experiment how you would "control" the variable.
It is important to identify and control variables in an experiment because then you can find an answer to a question. You have to have controlled variables so that some things stay constant and your experiment won't be totally different every time you do it, (you have to have only one changing, or independent variable at a time). When you have only one independent variable at a time you can isolate the change to the dependent variable. If you have more than one thing changing at one time you cannot know for sure that the dependent variable was only changed by the change in the independent variable because other things were changing as well.
Hopefully this makes sense, I know I used the word "changed" A LOT ;)
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control
"In an experiment, a control is a treatment which is included to provide a reference set of data which can be compared with data obtained from the experimental treatments." http://www.utas.edu.au/sciencelinks/exdesign/C3.HTM
The kite experiment was a scientific experiment
To draw valid conclusions from an experiment, there must be two kinds of conditions observed: 1. An experimental condition (the particular manipulation of a variable being studied), and 2. A control condition (the situation that unfolds without manipulating the variable being studied). Only comparing these two conditions will enable one to know that the factors changed by experiment are what led to the results of the experiment. For example, if you apply heat to water in order to produce steam (an experimental condition), you must also have some water that is not heated (a control condition) so you can be assured that water does not convert to steam simply because time passes without heat. In the social sciences, wherein it is common to study groups of people, the experimental and control conditions may be referred to as separate groups.
The control variables.
Having a control in an experiment allows you to see what happens when no variables are changed. If you do not have a control, you do not have anything to compare your results with after changing variables of the experiment.
It is easier to control independent variables
the dependant variable
The Variables That do not change in the experiment
The constant or the control.
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 can know what is the manipulating variable, the controlling variable, and the responding variable! To control the variables!
the reason it is important to controll the variables in an experiment is because if the variables are not controlled in an experiment it will be impossible to reproduce the experiment. which also will make it impossible to prove the theory being tested
You need to control the variables because if you have two or more variables in an experiment you will never know which variable caused a change or not caused a change.
Control Variable = kept in constant in a experiment Experimental Variable = changes in a experiment