Question

why does increasing the number of trials increase confidence in the results of the experiment?

Explanation:

In experimental design (related to Natural Science, especially in fields like Biology, Physics, etc.), increasing trials reduces the impact of random errors (like outliers or chance fluctuations). The Law of Large Numbers (in Statistics, a subfield of Mathematics) also applies: as trials increase, results approach the true probability or population parameter, making results more reliable and less likely due to chance. So more trials mean results are more consistent, representative, and less affected by random variation, boosting confidence.

Answer:

Increasing the number of trials reduces the impact of random errors (chance fluctuations, outliers) and follows the Law of Large Numbers (results approach true values as trials grow). More trials make results more consistent, representative, and less likely due to chance, thus increasing confidence in the experiment’s outcomes.