Binomial theorem

The binomial theorem is an important statement in mathematics, of value in probability theory and calculus. It states that the expansion of a binomial, x+y, raised to the power n is given by:

This page contains too many unsourced statements and needs to be improved.

Binomial theorem could use some help. Please research the article's assertions. Whatever is credible should be sourced, and what is not should be removed.

Part of a
convergent series on

Mathematics
1+1=11
v - t - e

[citation needed]

A familiar example of this is the expansion

Importance to probability

The binomial theorem allows calculation of the probability of an event with probability p happening k times given n chances. In this instance, the formula is

This can be very handy in demonstrating how improbable things happen. For instance, assume the probability of a particular mutation is about 10-3. "Impossible," you might say, "such a mutation could never occur!" However, another key aspect is the number of opportunities for that mutation to develop. Assume that, in a particular timeframe, 500 (a remarkably small number) offspring are produced. In this situation, the chance of the mutation occurring at least once is given by

Despite the low chance, the probability of the mutation arising with only 500 new members in the population if almost 2 in 5, or 40%.

What if we say that the number of new members added to the population is 1000, but require the mutation to occur at least twice?

As you can see, the chance of the mutation occurring is still greater than 1 in 4, despite the chance of any individual member receiving it being 1 in 1000. Given more time or a larger population, the mutation will almost definitely occur, even if its chance is decreased.

gollark: No.
gollark: Besides, it assumes CraftOS's existence when it TLCOs it to... remove CraftOS, partly.
gollark: no u.
gollark: You would need a craftOS partial compatibility layer.
gollark: But potatOS needs it.
This article is issued from Rationalwiki. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.