The Law of Large subjugatesThe Law of Large Numbers states that as the progeny of trials of a random process increases , the percentage oddment between the expected and actual values converges to zero . In other words , the percentage error between the supposed and experimental will closes to zero as more than trials ar performedThe Law of Large Numbers makes easier to guess approximate fall of solvent of any event for certain number of trials much(prenominal) as tossing a coin n number of valuate . A toss of coin has two possible events , cockle or tail When we toss a coin , we never know exactly what will be solution , fountainhead or tail as the probability of both outcome are 0 .5 or 50 .
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In more or less cases if we toss a coin round number of clock than we expect approximately 50 of the time head and 50 of the time tailTable 1 : Coin flick SimulationNumber of tosses Number of Heads (Actual )Number of Heads (Expected Difference between numerical Percentage of Heads (ExpectedDifference between PercentagesTrial 1 2 1 1 0 50 .00 50 .00 0 .00Trial 2 10 4 5 -1 40 .00 50 .00 -10 .00Trial 3 20 11 10 1 55 .00 50 .00 5 .00Trial 4 50 24 25 -1 48 .00 50 .00 -2 .00Trial 5 blow 55 50 5 55 .00 50 .00 5 .00Trial 6 250 119 125 -6 47 .60 50 .00...If you want to queer a full essay, order it on our website:
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