So that you are NEVER confused at anytime within the conduction of the experiment.
So the experiment's results are more reliable
If you do not have a control,then you cannot compare your test results.
The observations and measurements recorded during an experiment are called data. It is important to keep accurate data in order to understand the results of the experiment.
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 you are NEVER confused at anytime within the conduction of the experiment.
So the experiment's results are more reliable
experiment
If you do not have a control,then you cannot compare your test results.
The observations and measurements recorded during an experiment are called data. It is important to keep accurate data in order to understand the results of the experiment.
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.
Yes, variables can affect the results of an experiment by introducing bias or influencing the outcome. It is important to identify and control for variables to ensure the reliability and validity of the experiment's results.
Repeating the experiment will either confirm the results you've just obtained, or show up errors.
The interpretation of results in science is important because it can lead to an understanding of the source of errors in an experiment as well as how the experiment relates to the original hypothesis.
We retest our experiments to insure accurate results and to compare with our original results.
To make sure what you publish is correctly, and to provide crosscheck of your methods and results.
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.