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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.
A control is a known setup for a given experiment that is known to have no effect on the outcome, that it will remain constant throughout all tests. It is part of a test group that does not change, so as to compare results in the end.
The variable setup in an experiment is called the experimental design. This design includes all the factors and conditions that are manipulated or controlled in the experiment to test the research hypothesis.
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.
An experiment comparing plant growth under different light conditions can show the optimal sunlight exposure for plant growth. A plant receiving no sunlight may serve as a control group to compare with plants receiving varying amounts of sunlight. This setup can help determine the impact of sunlight on plant growth and identify the best conditions for plant development.
control and experimental setup
Without controlled setup in an experiment. How can the researcher know his data is comparable for study?
Answer The "Control"
Answer The "Control"
To have something to compare the rest of the experiment to
Everything except what you're measuring. EXAMPLE: In a biological experiment using specially treated cells the experiment is run with the cells; this is the experiment. Then the experiment is run again with the same cells WITHOUT the special treatment; this is the control.
A control setup is something where you know how it will behave. It gives you a reference to measure affect of all other variables.
only 1 parameter, or, variable, is manipulated at a time
were you setup your own experiment
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.
A positive control is used in an experiment to ensure that the experimental conditions are capable of producing a positive result. It helps validate the experimental setup and serves as a reference point for comparison with the test samples.
A control group is used to separate the setup for an experiment from the surroundings by providing a baseline for comparison. It is a group that is exposed to the same conditions as the experimental group but does not receive the treatment being tested. This allows researchers to determine the specific effects of the treatment being studied.