De Moivre–Laplace theorem - Wikipedia https://en.wikipedia.org/wiki/De_Moivre%E2%80%93Laplace_theorem
https://baike.baidu.com/item/棣莫弗—拉普拉斯定理/5784346
棣莫弗—拉普拉斯定
File:De moivre-laplace.gif - Wikipedia https://en.wikipedia.org/wiki/File:De_moivre-laplace.gif
De_moivre-laplace.gif (250 × 155 pixels, file size: 21 KB, MIME type: image/gif, looped, 8 frames, 18 s)
Consider tossing a set of
n coins a very large number of times and counting the number of "heads" that result each time. The possible number of heads on each toss,
k, runs from 0 to
n along the horizontal axis, while the vertical axis represents the relative frequency of occurrence of the outcome
k heads. The height of each dot is thus the probability of observing
k heads when tossing
n coins (a
binomial distribution based on
n trials). According to the de Moivre–Laplace theorem, as
n grows large, the shape of the discrete distribution converges to the continuous Gaussian curve of the
normal distribution.