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In probability theory, the birthday problem asks for the probability that, in a set of n randomly chosen people, at least two will share a birthday. The birthday paradox refers to the counterintuitive fact that only 23 people are needed for that probability to exceed 50%. The birthday paradox is a veridical paradox: it seems wrong at first ...
If you were born on Leap Day 1924, you would be 100 years old, or 25 in Leap Day years. The year must be evenly divisible by 4. If the year can be evenly divided by 100, it is not a leap year ...
Bayes' theorem is named after the Reverend Thomas Bayes (/ beɪz /), also a statistician and philosopher. Bayes used conditional probability to provide an algorithm (his Proposition 9) that uses evidence to calculate limits on an unknown parameter. His work was published in 1763 as An Essay Towards Solving a Problem in the Doctrine of Chances.
A half-birthday is a day approximately six months before or after the anniversary of a person's birth. It is sometimes marked by people whose birthday either falls on major holidays, near major holidays, or both, the celebration of which may overshadow celebration of the birthday. [1] It may also be marked by students whose birthday does not ...
Old Style (O.S.) and New Style (N.S.) indicate dating systems before and after a calendar change, respectively. Usually, they refer to the change from the Julian calendar to the Gregorian calendar as enacted in various European countries between 1582 and 1923. In England, Wales, Ireland and Britain's American colonies, there were two calendar ...
The probability that 365 people have distinct birthdays is 365!/365^365. (1/365! is the probability that you take 365 people with distinct birthdays and, picking them one at a time, correctly pick them in birthday order). Let's work with smaller numbers: assume a 3-sided coin (it's more interesting than a two-sided, but the numbers are small).
No, they're not quadruplets. Each girl was born on the same day, exactly three years apart. That's right — Sophia, 9, Giuliana, 6, Mia, 3, and Valentina, 2.5 weeks old — have the exact same ...
Life table. In actuarial science and demography, a life table (also called a mortality table or actuarial table) is a table which shows, for each age, the probability that a person of that age will die before their next birthday ("probability of death "). In other words, it represents the survivorship of people from a certain population. [1]