A total of 1,653 means your pal was rolling an average of 5.51 with each roll – and according to the Central Limit Theorem, that’s almost entirely impossible.

Central Limit Theorem, or CLT, is a statistical theory stating that as the size of a sample grows, the results tend to approximate a normal distribution of results. Read more here.

CreatureCast - Central Limit Theorem from Casey Dunn on Vimeo. The normal distribution, a bell-shaped statistical curve with a concentration about the mean, is a common phenomenon when looking at ...

For α ∊ (1, 2), we present a generalized central limit theorem for α-stable random variables under sublinear expectation. The foundation of our proof is an interior regularity estimate for partial ...

Po-Han HSU, Peng-Jie WONG, On Selberg’s Central Limit Theorem for Dirichlet L-functions, Journal de Théorie des Nombres de Bordeaux, Vol. 32, No. 3 (2020), pp. 685-710 ...