The Law of Large subjugatesThe Law of Large Numbers states that as the progeny of trials of a random process increases , the percentage embossment betwixt the expected and actual values converges to zero . In other words , the percentage error between the so-called and experimental will closes to zero as more trials ar performedThe Law of Large Numbers makes easier to guess approximate function of solvent of any event for certain number of trials such as tossing a coin n number of amount . A toss of coin has two possible events , bowl over or tail When we toss a coin , we neer know exactly what will be yield , promontory or tail as the probability of both outcome are 0 .5 or 50 . In more or less cases if we toss a coin overlarge number of clock than we expect approximately 50 of the clipping head and 50 of the time tailTable 1 : Coin interchange 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 one hundred 55 50 5 55 .00 50 .00 5 .00Trial 6 250 119 125 -6 47 .60 50 .00...If you want to bear a full essay, order it on our website: OrderCustomPaper.com
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