Conducting experiments on a large number of samples increases the reliability and generalizability of the results. It helps to minimize the impact of outliers and random variations, providing a clearer picture of trends and patterns. Additionally, larger sample sizes enhance statistical power, making it more likely to detect significant effects and draw valid conclusions. Overall, this approach strengthens the validity of the findings and supports more robust scientific claims.
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