A Python script to estimate the probabilities of the birthday problem (http://en.wikipedia.org/wiki/Birthday_problem) for subgroups of size 2, 3, 4, 5, and 6 that have the same birthday.

birthdays.py

import random

maxBirthdays = 6
numDays = 365
numTrials = 100000
maxGroupSize = 1000

def BirthdayExperiment():
    birthdays = [0] * numDays
    numToDuplicates = {}
    r = random.Random()
    numPeople = 0
    while True:
        numPeople += 1
        nextBirthday = r.randint(0,numDays-1)
        birthdays[nextBirthday] += 1
        numBirthdays = birthdays[nextBirthday]
        if (numBirthdays > 1) and (not numBirthdays in numToDuplicates):
            numToDuplicates[numBirthdays] = numPeople
            if numBirthdays == maxBirthdays:
                break
    return numToDuplicates

random.seed()

cumDistFunctions = {}
for i in range(2,maxBirthdays+1):
    cumDistFunctions[i] = [0] * (maxGroupSize+1)

for trial in range(numTrials):
    numToDuplicates= BirthdayExperiment()
    for i in range(2,maxBirthdays+1):
        for j in range(numToDuplicates[i],maxGroupSize+1):
            cumDistFunctions[i][j] += 1


line = "# People,2 analytic"
for i in range(2,maxBirthdays+1):
    line = "%s,%d same" % (line, i)
print line

analytic = 1.0
for numPeople in range(1,maxGroupSize+1):
    if numPeople <= numDays:
        analytic *= float(numDays-numPeople+1)/numDays
    line = "%d,%f" % (numPeople, 1-analytic)
    for i in range(2,maxBirthdays+1):
        line = "%s,%f" % (line, float(cumDistFunctions[i][numPeople])/numTrials)
    print line

Here's my code: birthdays.py