How many people must be there in a room to make the probability 100% that at-least two people in the room have same birthday?
Answer: 367 (since there are 366 possible birthdays, including February 29).
The above question was simple. Try the below question yourself.
How many people must be there in a room to make the probability 50% that at-least two people in the room have same birthday?
The number is surprisingly very low. In fact, we need only 70 people to make the probability 99.9 %.
Let us discuss the generalized formula.
What is the probability that two persons among n have same birthday?
Let the probability that two people in a room with n have same birthday be P(same). P(Same) can be easily evaluated in terms of P(different) where P(different) is the probability that all of them have different birthday.
P(same) = 1 – P(different)
P(different) can be written as 1 x (364/365) x (363/365) x (362/365) x …. x (1 – (n-1)/365)
How did we get the above expression?
Persons from first to last can get birthdays in following order for all birthdays to be distinct:
The first person can have any birthday among 365
The second person should have a birthday which is not same as first person
The third person should have a birthday which is not same as first two persons.
The n’th person should have a birthday which is not same as any of the earlier considered (n-1) persons.
Approximation of above expression
The above expression can be approximated using Taylor’s Series.
provides a first-order approximation for ex for x << 1:
To apply this approximation to the first expression derived for p(different), set x = -a / 365. Thus,
The above expression derived for p(different) can be written as
1 x (1 – 1/365) x (1 – 2/365) x (1 – 3/365) x …. x (1 – (n-1)/365)
By putting the value of 1 – a/365 as e-a/365, we get following.
p(same) = 1- p(different)
An even coarser approximation is given by
By taking Log on both sides, we get the reverse formula.
Using the above approximate formula, we can approximate number of people for a given probability. For example the following C++ function find() returns the smallest n for which the probability is greater than the given p.
Implementation of approximate formula.
The following is program to approximate number of people for a given probability.
1) Birthday Paradox is generally discussed with hashing to show importance of collision handling even for a small set of keys.
2) Birthday Attack
This article is contributed by Shubham. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
- Count of even and odd set bit with array element after XOR with K
- Print all possible pair with prime XOR in the Array
- Check if N can be expressed as product of 3 distinct numbers
- Find all Factors of Large Perfect Square Natural Number in O(sqrt(sqrt(N))
- Check if all Prime factors of number N are unique or not
- Minimum number of primes required such that their sum is equal to N
- Sum of all numbers in the given range which are divisible by M
- Sum of all Non-Fibonacci numbers in a range for Q queries
- Area of Equilateral triangle inscribed in a Circle of radius R
- Long Division Method to find Square root with Examples
- Minimum number of operations to convert array A to array B by adding an integer into a subarray
- Count of consecutive Fibonacci pairs in the given Array
- Count of Squares that are parallel to the coordinate axis from the given set of N points
- Count all distinct pairs with product equal to K