Birthday Problem with Realistic Assumptions

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SUMMARY

The discussion focuses on the limitations of the traditional birthday problem, which assumes a uniform distribution of birthdays. It highlights that this assumption fails a chi-square test at the 95% confidence level when analyzing 480,040 data points. Participants seek solutions that incorporate a more realistic distribution of birthdates, referencing a specific paper available on JSTOR for further insights.

PREREQUISITES
  • Understanding of probability theory and statistical testing
  • Familiarity with the birthday problem and its traditional assumptions
  • Knowledge of chi-square tests and their applications
  • Access to academic resources like JSTOR for research papers
NEXT STEPS
  • Research alternative distributions for modeling birthdates, such as the Poisson distribution
  • Study the implications of non-uniform distributions in probability theory
  • Examine the chi-square test methodology and its applications in real-world data analysis
  • Access and review the referenced JSTOR paper for advanced insights on the topic
USEFUL FOR

Statisticians, data analysts, mathematicians, and anyone interested in probability theory and its real-world applications, particularly in understanding the birthday problem.

Bacle
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Hi, All:

The standard way of approaching the birthday problem, i.e., the problem of
determining the number of people needed to have a certain probability that
two of them have the same birthday, is based on the assumption that birthdays
are uniformly-distributed, i.e., that the probability of someone having a birthday
on a given day is 1/365 for non-leap, or 1/366 for leap.

But there is data to suggest that this assumption does not hold; specifically,
this assumption failed a chi-square at the 95% for expected-actual, for n=480,040
data points.

Does anyone know of a solution that uses a more realistic distribution of birthdates?
 
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This paper seems to be exactly what you're looking for--

http://www.jstor.org/pss/2685309

but you will need access to a JSTOR account to see more than the first page.
 
Last edited by a moderator:
Excellent, 'Awkward' , thanks.
 

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