Maths - Statistics - Continous Probability Distributions

P(x) = probability density function.

ie total area under graph = certancy = 1

ie probability of x being between a and b

= Expected value of x = ( average)

= Varience of x = ( standard deviation)

Normal Distribution

Often applies where sample size is large.





0.3 Probability density = P(x)

=

0.2


0.1







PoissonDistribution







probability of r events in time t

= average no of

events in time t

mean =

varience =

Exponential Distribution







E(x) =

V(x) =

 


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