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
[sunting | sunting sumber]- ^ Dekking, Michel (2005). A Modern Introduction to Probability and Statistics. Springer. hlm. 181–190. ISBN 9781852338961.
Pranala luar
[sunting | sunting sumber]- 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