Geometric distribution

In probability theory and statistics, the geometric distribution is either one of two discrete probability distributions: The probability distribution of the number X {\displaystyle X} of Bernoulli trials needed to get one success, supported on N = { 1 , 2 , 3 , … } {\displaystyle \mathbb {N} =\{1,2,3,\ldots \}} ; The probability distribution of the number Y = X − 1 {\displaystyle Y=X-1} of failures before the first success, supported on N 0 = { 0 , 1 , 2 , … } {\displaystyle \mathbb {N} _{0}=\{0,1,2,\ldots \}} . These two different geometric distributions should not be confused with each other.

Source: Wikipedia — Geometric distribution (CC BY-SA 4.0)

Geometric distribution

In probability theory and statistics, the geometric distribution is either one of two discrete probability distributions: The probability distribution of the number X {\displaystyle X} of Bernoulli trials needed to get one success, supported on N = { 1 , 2 , 3 , … } {\displaystyle \mathbb {N} =\{1,2,3,\ldots \}} ; The probability distribution of the number Y = X − 1 {\displaystyle Y=X-1} of failures before the first success, supported on N 0 = { 0 , 1 , 2 , … } {\displaystyle \mathbb {N} _{0}=\{0,1,2,\ldots \}} . These two different geometric distributions should not be confused with each other.

Source: Wikipedia "Geometric distribution" · CC BY-SA 4.0

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