Wikipedia Article of the Day
Randomly selected articles from my personal browsing history
In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own Boolean-valued outcome: success (with probability p) or failure (with probability q = 1-p). A single success/failure experiment is also called a Bernoulli trial or Bernoulli experiment, and a sequence of outcomes is called a Bernoulli process; for a single trial, i.e., n = 1, the binomial distribution is a Bernoulli distribution. The binomial distribution is the basis for the popular binomial test of statistical significance. The binomial distribution is frequently used to model the number of successes in a sample of size n drawn with replacement from a population of size N. If the sampling is carried out without replacement, the draws are not independent and so the resulting distribution is a hypergeometric distribution, not a binomial one. However, for N much larger than n, the binomial distribution remains a good approximation, and is widely used.
History
Dec 21
Poisson point process
Dec 20
Generic top-level domain
Dec 19
Beale ciphers
Dec 18
Heavyweight (podcast)
Dec 17
MurmurHash
Dec 16
Attempted assassination of Ronald Reagan
Dec 15
Mnemonic major system
Dec 14
Peter M. Lenkov
Dec 13
Lagrange polynomial
Dec 12
Polynomial interpolation
Dec 11
Newton polynomial
Dec 10
Quantile function
Dec 9
Static site generator
Dec 8
Flag Day (United States)
Dec 7
Seven-segment display character representations
Dec 6
Tori Kelly
Dec 5
Lynn Conway
Dec 4
G7
Dec 3
Nostr
Dec 2
Negative binomial distribution
Dec 1
Toledo War
Nov 30
Laurent series
Nov 29
Interface control document
Nov 28
ANT (network)
Nov 27
Functional analysis
Nov 26
Semiring
Nov 25
Projective set (disambiguation)
Nov 24
Primitive polynomial
Nov 23
Syphilis
Nov 22
Mud dauber