p ← s ##.birthday n ⍝ Probability of same birthday. "In a group of 23 people there is a better than 50-50 chance that two of them share a birthday". This function from Nicolas Delcros and Roger Hui generalises this assertion to find the probability of a pair of coincident results occuring from n trials, each with probability ÷s. See: http://www.jsoftware.com/jwiki/Essays/Birthday_Problem Examples: 365 birthday 23 ⍝ probability that 2 people out of 23 share a birthday 0.5072972343 6 birthday 2 ⍝ probability of a pair in dice-throwing. 0.1666666667 (2*32) birthday 1e4 ⍝ probability of BuildID collision for 10,000 builds 0.01157288999 Back to: contents Back to: Workspaces