Probability and the Birthday Paradox

Probability and the Birthday Paradox
Probability and the Birthday Paradox

Ever wondered why it's more likely than you think to share a birthday with someone in a room of just 23 people? Welcome to the intriguing world of the Birthday Paradox, a fascinating example of how probability can defy our intuition.

The Birthday Paradox

The birthday paradox, also known as the birthday problem, states that in a random group of 23 people, there is about a 50 percent chance that two people have the same birthday.

  • When all 23 birthdays are compared against each other, it makes for much more than 22 comparisons, so 253 combinations.

Extra: roll dice 100 times and record the results

Calculate the mathematical probability of getting a sum higher than 18 for each combination of dice when rolling them 100 times

  • Which combination has a higher mathematical probability, and was this true when you rolled them?
  • Probability Central from Oracle ThinkQuest

Observations and results

Did about 50 percent of the groups of 23 or more include at least two people with the same birthdays?

  • When comparing probabilities with birthdays, it can be easier to look at the probability that people do not share a birthday.
  • A person’s birthday is one out of 365 possibilities (excluding February 29 birthdays).
  • The probability that a person does not have the same birthday as another person is 364 divided by 365 because there are 364 days that are not a person’s birthday.

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