The Law of Large subjugatesThe Law of Large Numbers states that as the progeny of trials of a random process increases , the percentage equaliser amid the expected and actual values converges to zero . In other words , the percentage error between the hypothetic and experimental will closes to zero as more than trials ar performedThe Law of Large Numbers makes easier to guess approximate result of solvent of any event for certain number of trials such(prenominal) as tossing a coin n number of assess . A toss of coin has two possible events , fling or tail When we toss a coin , we never know exactly what will be result , heading or tail as the probability of both outcome are 0 .5 or 50 .
In more or less cases if we toss a coin plumping number of clock than we expect approximately 50 of the conviction head and 50 of the time tailTable 1 : Coin notch 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 vitamin C 55 50 5 55 .00 50 .00 5 .00Trial 6 250 119 125 -6 47 .60 50 .00...If you want to bushel a full essay, order it on our website: OrderCustomPaper.com
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