Bernoulli trial
Summary
A Bernoulli trial is a random experiment with exactly two possible outcomes, called success and failure. The probability of success is the same each time the trial is repeated, and the failure has probability . A sequence of Bernoulli trials usually means independent repetitions of one trial. The number of successes in such trials has the binomial distribution.
Remarks
The outcome of one trial, coded as for success and for failure, has the Bernoulli distribution. The trials are named after Jacob Bernoulli, who studied them in his book Ars Conjectandi of 1713. Examples are a coin toss, with heads as success, and a roll of a die, with a six as success and .
Explanations
L1 human
A Bernoulli trial is a yes-or-no experiment. Many questions have this form: does the coin show heads, does the patient recover, does the part fail.
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- no evidence level
- Random experiment concept
- Bernoulli trial concept
What depends on this
11 nodes use this node, directly or through other nodes.
- Bernoulli process 02XPXR1FBK
- De Moivre–Laplace theorem 065X9S8CM3
- Mean of the geometric distribution 0DB0R4N5XX
- Bernoulli distribution 0J97P5KZY0
- Coupon collector's problem 0MXCP7MXWJ
- Expectation with respect to the binomial distribution 0PVCTCKD3C
- Binomial distribution 0VRWZDWW6B
- Geometric distribution 0XCVV5Q500
- Poisson limit theorem 0XKTZRWTXX
- Negative binomial distribution 0XN7KEVSSS
- Memorylessness 0ZAZZ34WQS
Sources
- Web https://en.wikipedia.org/wiki/Bernoulli_trial, lead section
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Used by
- Bernoulli distribution 0J97P5KZY0
- Binomial distribution 0VRWZDWW6B
- Geometric distribution 0XCVV5Q500