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Why is it important to change only one variable in an expiriment?
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Why is it imporatant to change systematically only one variable at a time when doing the experiment?
It is important to only change one variable at a time when doing an experiment, because if you change more than one, there will be uncertainty as to which one affected the result.
In an experiment where you change only the temperature temperature is the?
manipulated variable
Are variable in an experiment can change True or False?
A variable does and must change, but you can only have one variable, otherwise the experiment becomes biased and unfair
Why should an experiment be tested only one variable at a time?
if you change more than one variable, you will not know which one has had an effect on the experiment. If the outcome changes when one variable is altered, then the change can only be due to the one variable, by logical deduction.
Why is advantageous for scientist to test only one variable at a time during 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.
Why is it imporatant to change systematically only one variable at a time when doing the experiment?
It is important to only change one variable at a time when doing an experiment, because if you change more than one, there will be uncertainty as to which one affected the result.
Why is it important to only test one variable in an experiment?
Because if you change more than one variable at a time, you can't tell which is affecting the results.
Why is only variable changed in an investigation?
You only change one variable in an investigation because if you change more than one you won't know which change affected the data.
In an experiment where you change only the temperature temperature is the?
manipulated variable
Why does an investigator change only one variable in an experiment?
So the variable can be at constant.
What is a variable that is change in an experiment?
The dependent variable is the variable that can change in an experiment.
Does the independent variable on a graph cause the change in an experimental system?
No. It will only do that if the other variable is dependent on it.
Are variable in an experiment can change True or False?
A variable does and must change, but you can only have one variable, otherwise the experiment becomes biased and unfair
Why should an experiment be tested only one variable at a time?
if you change more than one variable, you will not know which one has had an effect on the experiment. If the outcome changes when one variable is altered, then the change can only be due to the one variable, by logical deduction.
Why is advantageous for scientist to test only one variable at a time during 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.
What does independent variable and dependent variable mean and what they do?
It means that you can change one variable (the independent variable) freely, but that the other variable (the dependent variable) depends on the independent variable. For example, to calculate kinetic energy, the energy (for a given object) depends on the speed; if you change the speed, you change the kinetic energy. You can't change the kinetic energy directly, only indirectly by changing the speed.
Why is it important to only have one variable 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.
