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An experimental design can be improved by ensuring proper randomization to eliminate bias, which helps create more reliable results. Additionally, increasing sample size can enhance the statistical power of the study, making it easier to detect significant effects. Implementing a control group can also provide a clearer comparison against the experimental group, while refining the operational definitions of variables ensures that measurements are accurate and consistent. Lastly, conducting a pilot study can help identify any potential issues before the full-scale experiment.

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