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  1. Birthday problem - Wikipedia

    • From a permutations perspective, let the event A be the probability of finding a group of 23 people without any repeated birthdays. Where the event B is the probability of finding a group of 23 people with at … See more

    Approximations

    The Taylor series expansion of the exponential function (the constant e ≈ 2.718281828) 1. e x = 1 + x + x 2 2 ! + ⋯ {\displaystyle e^{x}=1+x+{\frac {x^{2}}{2!}}+… See more

    Wikipedia
    An Upper Bound on The Probability and A Lower Bound on The Number of People

    The argument below is adapted from an argument of Paul Halmos.[nb 1] As stated above, the probability that no two birthdays coincide is 1. 1 − p ( n ) = p ¯ ( n ) = ∏ k = 1 n − 1 ( 1 − … See more

    Wikipedia
    Generalizations

    Arbitrary number of days
    Given a year with d days, the generalized birthday problem asks for the minimal number n(d) such that, in a set of n randomly c… See more

    Wikipedia
    Other Birthday Problems

    First match
    A related question is, as people enter a room one at a time, which one is most likely to be the first to have the same birthday as someone al… See more

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  2. 1/365
    • According to 2 sources
    It stands to reason that same birthday odds for one person meeting another are 1/365 (365 days in the year and your birthday is on one of them). But it may surprise you to know that with a class of 23 people, there is a 50% chance that two people will share a birthday.
    When it comes down to it, if your birthday falls on any day other than February 29, the odds of sharing your birthday with anyone you meet should be approximately 1/365 in any population (0.274%).
     
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  5. WEBThe question: What are the chances that two people share a birthday in a group of 23? Sure, we could list the pairs and count all the ways they could match. But that’s hard: there could be 1, 2, 3 or even 23 matches! It’s …

  6. WEBIn particular, you can prove that 22 people isn’t enough for a more than 50% chance. Also, 57 people will give you a 99% chance of a shared …

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  7. Probability of Shared Birthdays - BrownMath.com

  8. The Birthday Paradox Explained | Built In

  9. Answering the Birthday Problem in Statistics

    WEBBy assessing the probabilities, the answer to the Birthday Problem is that you need a group of 23 people to have a 50.73% chance of people sharing a birthday! Most people don’t expect the group to be that small. Also, …

  10. What are the chances of sharing a birthday? | Science Questions

  11. What Is the Birthday Paradox? | Wonderopolis

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