Understanding the Law of Large Numbers
The Law of Large Numbers is a fundamental concept in probability and statistics, indicating that as the size of a sample increases, the sample mean will get closer to the expected value. 🐸
Practically, this means that with enough trials or data points, the outcomes will converge to the expected probability. For instance, flipping a coin many times will result in heads approximately half the time, just as predicted! 🎲
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