The Law of Large Numbers is a fundamental principle in probability and statistics. It states that as the number of trials or observations increases, the average of the results will get closer to the expected value. For example, if you flip a fair coin many times, the proportion of heads and tails will approach 50% as the number of flips grows. This law helps explain why larger samples provide more reliable results. In practical terms, if a survey is conducted with a small group, the results may vary widely. However, if the same survey is conducted with a larger group, the findings will likely reflect the true population more accurately.