Birthday Problem with Realistic Assumptions

In summary, the conversation discusses the standard approach to solving the birthday problem, which is based on the assumption of uniformly-distributed birthdays. However, there is data to suggest that this assumption may not hold and a more realistic distribution of birthdates may be needed. A suggested solution is a paper available on JSTOR, but access to a JSTOR account is required to view it in its entirety.
  • #1
Bacle
662
1
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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  • #2
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:
  • #3
Excellent, 'Awkward' , thanks.
 

Related to Birthday Problem with Realistic Assumptions

What is the "Birthday Problem with Realistic Assumptions"?

The Birthday Problem with Realistic Assumptions is a mathematical problem that explores the probability of a group of people sharing the same birthday, taking into account factors such as leap years and varying birth rates.

Why is it called the "Birthday Problem"?

The problem is named after the common misconception that in a group of 23 people, there is a 50% chance that two people will share the same birthday. This is due to the fact that people often underestimate the number of possible combinations and assume that each person has an equal chance of being born on any given day.

What are the realistic assumptions made in this problem?

The realistic assumptions in this problem include taking into account leap years, which add an extra day to the calendar, and considering that certain days of the year may have a higher or lower birth rate than others.

What is the significance of this problem?

The Birthday Problem with Realistic Assumptions has real-world applications in fields such as statistics, probability, and cryptography. It also challenges our intuitive understanding of probability and highlights the importance of considering all factors when making predictions.

How is the probability of shared birthdays calculated in this problem?

The probability is calculated using the formula P(n) = 1 - (365! / (365^n * (365-n)!)) where n is the number of people in the group. This takes into account all possible combinations and factors in the realistic assumptions to give a more accurate probability.

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