Cause and effect conclusions can be drawn from the results of an experiment because the experiment typically involves manipulating an independent variable to observe its effect on a dependent variable. This controlled environment allows researchers to isolate the relationship between these variables, minimizing the influence of confounding factors. Additionally, the use of random assignment and replication helps ensure that the observed effects are a direct result of the manipulation rather than coincidental. Thus, the structured methodology of experiments provides a clear basis for inferring causal relationships.
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