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Q: What variables would you need to control in your experiment?
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Why is it importaint to controle variables in an experiment?

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.


Why would a scientists need to identify and control variables in an experiment?

A scientist would need to identify variables so you could know what to change and what to keep the same. A scientist would need to control variables so you can try to see exactly which factors are affecting the dependent variable (the thing you're measuring). Hope this helped! Because I have the exact same question on my homework!


How do you describe variables in an experiment operationally?

Variables work by telling you what you need to change, what to observe, and what to keep the same in a experiment.


Why is it so important to control variables in an experiment?

You need to control variables in an experiment so as to make sure that only the variable you are testing and changing is the one affecting the results of your experiment. For example, in an experiment to find the effect of light intensity on the rate of photosynthesis of plant, you'll change light by putting a plant in sun and another in dark but you must not change carbon dioxide level for both plants so by that you have controlled other variables in the experiment(variables which must be the same always in the experiment).


Do you need to have a control for an experiment on which place is the dirtiest in the house?

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.


Why is it important to limit the variables in an experiment?

To understand this you need to remember that the independent variable is a condition that you can change, and the dependent variable is the outcome that you see. If you have two independent variables, and you change both during an experiment, how are you going to tell which one caused the change to the outcome? So, you only change one independent variable at a time.


When you make a conclusion about an experiment what do you need to concider?

You need to consider the results, your hypothesis, and the variables and controls used throughout the experiment.


Can there be more than one independent variables in a experiment?

In general yes. But it really depends on the experiment. If you want to know if it hurts to punch a wall, you don't need an independent variable (unless you want to compare the magnitudes of the pain). But for school experiments, most of the time, if not all of the time. Yes.


What is a good sentence to use the scientific word Control?

In a experiment, you would need to compare the results to other results to control.


Are controls always necessary in an experiment?

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


Dependent and independent variables in the scientific method?

In a scientific method (or experiment), a dependent variable is one that changes throughout the experiment. These are the ones whose changes need to be recorded. Independent variables are those that influence the experiment, but do not change throughout the experiment and remain the same value.


What do variables and independent variables have in common?

well they both need to be changed in order to have done the experiment right if it is nott right then do it again