Béda révisi "Fungsi dénsitas probabilitas"

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for any two numbers ''a'' and ''b''. This implies that the total integral of ''f'' must be 1. Conversely, any non-negative Lebesgue-integrable function with total integral 1 is the probability density of a suitably defined probability distribution.
 
For exampleContona, the uniform distributionsebaran onseragam thedina interval [0,1] hasngabogaan probabilityprobabiliti densitydensiti ''f''(''x'') = 1 forkeur 0 ≤ ''x'' ≤ 1 andjeung zeronol elsewheredimamana. The standardStandar [[sebaran normal distribution]] hasngabogaan probabilityprobabiliti densitydensiti
 
:<math>f(x)={e^{-{x^2/2}}\over \sqrt{2\pi}}</math>.
It is a common mistake to think of ''f''(''a'') as the probability of {''a''}, but this is incorrect; in fact, ''f''(''a'') will often be bigger than 1 - consider a random variable with a [[uniform distribution]] between 0 and 1/2.
 
TwoDua densitiesdensiti ''f'' andjeung ''g'' for the same distribution can only differ on a set of [[Lebesgue measure]] zero.
 
 
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