Changing only one variable in an experiment is crucial to ensure that any observed effects can be directly attributed to that specific change. If multiple variables are altered simultaneously, it becomes impossible to determine which variable influenced the outcome, leading to ambiguous results. This approach enhances the reliability and validity of the experiment, allowing for clearer conclusions about cause-and-effect relationships.
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