An experiment should test only one variable (the independent variable) at a time.
If you are testing more than one variable at a time, you have no idea which variable is causing which effect.
Although you can have as many variables as you want, that's not a good idea. The best experiments usually have only one variable.
Only one variable may be tested at one time.
You usually should test the least of variables is at least 2 but you never know if you are an beginner or an expert.
One.
the scientist should test one variable at a time
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Scientists perform controlled experiments in order to reduce as many third variables as possible. This means they are trying to prevent variables not directly related to the study from influencing the results.
Variables are the different thing in the experiment. Ex.-Problem-Which ball rolls fastest? Hypothesis-The Softball will roll fastest. Investigation-Roll the balls at the same time and time them with a stopwatch. Conclusion-Basketball rolled the fastest. Variables-The balls.
Generally speaking, you only want to test a single variable within one experiment so when a change occurs you know what caused it. If you change multiple variables at once it is harder to attribute the change to a single cause.
Yes it is testable, because both the moon phase and the weather are observable and quantifiable variables. Therefore, their covariability can be determined and this hypothesis tested.
How are you travelling? Plane, cruise ship, car? Combination of all three? There are too many variables. Flight layovers, holidays, miles to drive, depart time of crusie ship.....
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There are three types of variables tested: manipulated variables, controlled variables, and experimental variables.
It depends on the experiment. Normally only one is tested at a time because they can affect the experiment. Variables are tested in a controlled experiment to see whether they affect the outcome and also how.
Just one at a time
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Only the one being tested
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Independent variables
Independant variables
Independant variables