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Why should you have one independent variable in an experimental setup at a time?
Wiki User
∙ 13y ago
Because if you have none, there is no point in doing the experiment. If you have more than one you will have interactions between the independent variables but, with a good experimental design, these can be estimated so there is no reason to use independent variables one at a time.
Wiki User
∙ 13y ago
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What is the variable setup in an experiment called?
Independent variable
What do you call an experimental setup in which the experimental variable is missing?
control setup
What are the difference between control set up and variable experimental set up?
The control variable is the thing you keep the same and is everything that is not the independent variable. The Control Setup is there for the sake of comparison.
What is the part of an experiment called that contains the variable?
The experimental setup
What is experiment set-up?
An experimental setup uses the independent variable.
Why is it important to test only one variable at a time during a experiment?
If you test only one variable then you know that the difference in the experimental and control setup is that one independent variable. If you test more than one you will not know which one made the difference.
Why is it important to test only one variable at a time during a science investigation?
If you test only one variable then you know that the difference in the experimental and control setup is that one independent variable. If you test more than one you will not know which one made the difference.
An experiment setup in which the independent variable is not present is called the?
When conducting experiments in science, it is important to have a baseline for knowing what happens if an independent variable is not present. In science, this is called the control experiment.
What is experimental setup?
were you setup your own experiment
What is a constant setup experimental setup control setup and an experimental variable?
Control SetupThe constant control set up is where you have every thing "normal" to use to compare your experimental set up with the variable to. This has no variables and is always constant. For example if you wanted to see if plants would grow faster watered with sugar water or plain tap water, your constant control set up would be the plant watered with plain water. Since this is the "normal" condition with no changes it is the control setup.Additionally there are two kinds of controls, positive and negative. Positive controls will have an indication or contain the specific substance that the test or instrument is used for. On the other hand, negative controls don't contain that specific substance or instrument. For example if you were testing the effects of aspirin on inflammation and you gave a group, 20 mgs of a placebo, that would be a negative control. Opposite to that would be a positive control, if you were testing the same thing and instead gave the group 20 mgs of the aspirin.Experimental SetupIn short the part of the experiment that contains the variable is called the experimental setup. This is identical to the control setup except in one way. One change is made to the set up, this change is called the variable. In the example of the plants watered with tap or sugar water, the experimental set up would be the plant watered in the sugar water. Since this is the setup an which you are testing this, it is called the experimental (think of the experimental setup as a test) setup.Experimental variableThe experimental variable is basically what you are changing between the control and experimental setups.In the example, your experimental variable would be what the plant is watered with. So in this case, it would be the sugar water.
2 kinds of setup in an experiment?
control and experimental setup
What is variable what is controlled variable what is manipulated variable What is constant variable?
Variable is, logically, something that varies, that is to say, is not constant over time. Controlled variable, in the control field theory, is a variable measure that is, or that needs to be, controlled. Like a voltage that you need to keep under 10Volts because some devices in the setup have an amplitude limitation. Manipulated variable is usually a measure, a variable that you can measure. For example, if you can measure the voltage in the experimental setup then you can manipulate it, like using it to power a device. Constant variable, i think this is not very correct, a mathematician's opinion might be needed. For me is a variable, thus something that is variable over time, that under certain conditions becomes constant, thus stops varying according to time.
