Hukum bilangan besar

Dalam teori probabilitas, hukum bilangan besar adalah hukum matematika yang menyatakan bahwa rata-rata hasil yang diperoleh dari sejumlah besar sampel acak independen konvergen ke nilai sebenarnya, jika ada.^[1] Secara lebih formal, hukum bilangan besar menyatakan bahwa jika diberikan sampel berisi nilai-nilai yang independen dan terdistribusi secara identik, nilai rata-rata sampel akan konvergen ke nilai rata-rata sebenarnya.

Referensi

^ Dekking, Michel (2005). A Modern Introduction to Probability and Statistics. Springer. hlm. 181–190. ISBN 9781852338961.

Pranala luar

Hazewinkel, Michiel, ed. (2001) [1994], "Law of large numbers", Encyclopedia of Mathematics, Springer Science+Business Media B.V. / Kluwer Academic Publishers, ISBN 978-1-55608-010-4
(Inggris) Weisstein, Eric W. "Weak Law of Large Numbers". MathWorld.
(Inggris) Weisstein, Eric W. "Strong Law of Large Numbers". MathWorld.
Animations for the Law of Large Numbers by Yihui Xie using the R package animation
Apple CEO Tim Cook said something that would make statisticians cringe. "We don't believe in such laws as laws of large numbers. This is sort of, uh, old dogma, I think, that was cooked up by somebody [..]" said Tim Cook and while: "However, the law of large numbers has nothing to do with large companies, large revenues, or large growth rates. The law of large numbers is a fundamental concept in probability theory and statistics, tying together theoretical probabilities that we can calculate to the actual outcomes of experiments that we empirically perform. explained Business Insider

[:0-1] Dekking, Michel (2005). A Modern Introduction to Probability and Statistics. Springer. hlm. 181–190. ISBN 9781852338961.

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