It is a theorem that describes the result of performing the same experiment a large number of times. This theorem forms the basis of frequency-style thinking. It says that the sample means, the sample variance and the sample standard deviation converge to what they are trying to estimate.
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The law of large numbers infers you will have 50% heads.
This is due to the Law of Large Numbers. According to this law, the average of a set of numbers is more likely to be closer to the true average.
when a probability experiment is repeated a large number of times, the relative frequency probability of an outcome will approach its theoretical probability.
The law of large numbers basically states that the more times you do something, the more accurate the data. For example, If i flip a coin 2 times, My data won't be as accurate as if i flipped it 100 times because There is more chance of getting heads half the tima and tails the other half. =)
There is no such law. "Scientific notation" is a convention (not a law), that lets you write very large or very small numbers in a brief way (without writing lots of zeros). You can find details, and examples, in the Wikipedia article on "Scientific notation".