Data collected about a population is not a characteristic of both observational studies and experiments.
Through experiments, two variables' cause and effect relationships are examined. This is where they differ from observations and interviews, which can only assume the existence of contexts and cannot provide evidence for them. The environment of the test subjects is managed in an experiment depending on the issue.
Three things characterize statistical experiments in general:
There are various outcomes that the experiment could produce.
In an experiment, the cause, the independent variable, is changed while the effect, the dependent variable, is measured and any unrelated factors are controlled.
It is possible to anticipate every outcome.
Chance determines how the experiment turns out.
Learn more about experiments here:
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