The number of variables in an experiment can vary widely depending on its design, but generally, it's advisable to focus on one independent variable to establish clear cause-and-effect relationships. However, multiple controlled variables (constants) can be maintained to minimize their influence on the outcome. In more complex experiments, researchers may include several independent variables, but this can complicate the analysis and interpretation of results. Ultimately, the key is to balance complexity with clarity to yield meaningful findings.
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