Because you need to see what differs after you test it.
You need to be able to make comparisons between the result and the original.
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.
A control experiment with respect to that variable. There may be several variables and it may be necessary to leave each one of them out in a different control.
The standard for comparison in a experiment is known as a control variable. This is useful to any experiment and serves as a reference point used to draw conclusions.
Yes 99.99% of the time,controls are very necessasry.If you are performing an experiment testing some variable, say (X) , you need to perform a control where everything is the same as the experiment conditions including your (X) variable your testing in the experiment. Therefore, the only difference between your control and your experiment is the variable your testing.Since the variable in your control is kept constant, you can compare the result so the experiment (where the variable was varied) and your control (where the variable was kept constant).Since all other factors in both the control and experiment were the same, you can compare your results
Without the control group, the test is not able to measure the difference with a standard condition
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.
A control experiment with respect to that variable. There may be several variables and it may be necessary to leave each one of them out in a different control.
Without controlled setup in an experiment. How can the researcher know his data is comparable for study?
The standard for comparison in a experiment is known as a control variable. This is useful to any experiment and serves as a reference point used to draw conclusions.
Yes 99.99% of the time,controls are very necessasry.If you are performing an experiment testing some variable, say (X) , you need to perform a control where everything is the same as the experiment conditions including your (X) variable your testing in the experiment. Therefore, the only difference between your control and your experiment is the variable your testing.Since the variable in your control is kept constant, you can compare the result so the experiment (where the variable was varied) and your control (where the variable was kept constant).Since all other factors in both the control and experiment were the same, you can compare your results
Without the control group, the test is not able to measure the difference with a standard condition
the control.constantif you make no changes, then its not called an experiment...The control is variable
Yes, any science experiment needs a control, or else you don't have a baseline from which to base your understanding of the rest of your data.
To compare data
Because if you have any unknown factors you wont know how the experiment will react in any given situation.
You need a control for any experiment. It doesn't sound like this particular experiment is of the utmost importance but it's a good habit to get into if you plan more important ones. I have no idea what the control would be.
The independent variable is changed by the experimenter so that the results can be compared to the control, which does not change. Any differences between the control and experimental group are due to the independent variable. cw: As written, you don't.