Scientists do their test more than once, or get their colleagues and peers to do the same experiment in order to verify the results of their experiment.
This is called reproducing an experiment and its results.
To make sure that the test results are the same and can conclude the result of the experiment will come up 100% of the time.
trial and error
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Lots of different scientists test the same things to compare different conclusions.
Scientists test hypothesis by setting up an experiment. They choose a independent and a dependent variable and test the experiment.
To make sure that the test results are the same and can conclude the result of the experiment will come up 100% of the time.
trial and error
average result is the result when you do a few times of the same experiment and get a few result then you average it.
Scientists may refer to an additional test as a "supplementary test" or "secondary test" to gather more data or verify results.
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They want to make sure that the answer is correct. This called peer review.
It is called experiments
To test hypotheses, scientists create experiments.
Lots of different scientists test the same things to compare different conclusions.
Scientists test hypothesis by setting up an experiment. They choose a independent and a dependent variable and test the experiment.
If you change more than one variable at a time, you will not be able to tell which variable is responsible for what change. Scientists need to know exactly which variable caused the observed experimental results.It is advantageous for scientists to test only one variable at a time during an experiment because if you change all variables at once, you will not be able to tell which variable is responsible for the observed results.
If you change more than one variable at a time, you will not be able to tell which variable is responsible for what change. Scientists need to know exactly which variable caused the observed experimental results.It is advantageous for scientists to test only one variable at a time during an experiment because if you change all variables at once, you will not be able to tell which variable is responsible for the observed results.