So the variable can be at constant.
the investigator only changes one variable in an experiment because they need to see how that one variable reacts. if you wanted to see how the dependent variable changed but changed the independent variable you would not see how the one variable reacts.
You only change one variable; if you changed multiple variables you wouldn't know which one caused a change.
Because you want to see how the experimental results change due to only that one variable change. If you used two variables, and the results varied, how would you know which variable contributed more to the change if at all? It can be done this way, but one variable at a time will allow you to make sense of your data much more efficiently.
an dependent variable is one that you change in an experiment
If you change more than one variable at a time, you will not be able to tell which variable is responsible for what change. Scientists need to know exactly which variable caused the observed experimental results.It is advantageous for scientists to test only one variable at a time during an experiment because if you change all variables at once, you will not be able to tell which variable is responsible for the observed results.
If you change more than one variable at a time, you will not be able to tell which variable is responsible for what change. Scientists need to know exactly which variable caused the observed experimental results.It is advantageous for scientists to test only one variable at a time during an experiment because if you change all variables at once, you will not be able to tell which variable is responsible for the observed results.
If you change more than one variable at a time, you will not be able to tell which variable is responsible for what change. Scientists need to know exactly which variable caused the observed experimental results.It is advantageous for scientists to test only one variable at a time during an experiment because if you change all variables at once, you will not be able to tell which variable is responsible for the observed results.
A variable does and must change, but you can only have one variable, otherwise the experiment becomes biased and unfair
If you change more than one variable at a time, you will not be able to tell which variable is responsible for what change. Scientists need to know exactly which variable caused the observed experimental results.It is advantageous for scientists to test only one variable at a time during an experiment because if you change all variables at once, you will not be able to tell which variable is responsible for the observed results.
Because if you change more than one variable at a time, you can't tell which is affecting the results.
One. If there is only one variable being tested, when you compare it to the control, you know that was the cause of a change.
The independent variable is the one variable that you change in your experiment
It is an experiment in which only one variable is changed for example if I was seeing where a banana rotted fastest the only variable that would change is where the banana is placed.
No, as the name Variable implies, it can and does change. Since it is 'Independent' its change is not a direct effect of the change of any other Variable. Additionally, the independent variable depends on the dependent variable.
manipulated variable
The dependent variable is the variable that can change in an experiment.