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. You should call bullshit.

The Central Limit Theorem (CLT) relies on multiple independent samples that are randomly selected to predict the activity of a population.

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.

The Central Limit Theorem for means: Central Limit Theorem for Means This Shiny app allows users to choose from several different population distributions, and to drag sliders to change the population ...

Animator Shuyi Chiou and the folks at CreatureCast give an adorable introduction to the central limit theorem – an important concept in probability theory that can reveal normal distributions (i ...

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 ...