The essence of an experiment lies in its ability to establish causality by manipulating one or more independent variables and observing the effect on dependent variables, while controlling for confounding factors. In contrast, an observational study involves monitoring and analyzing relationships between variables without intervention, making it more difficult to infer direct cause-and-effect relationships. Experiments allow for greater control and randomization, leading to more definitive conclusions about causal links.
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