Exponential distribution probability

Probability of occurence decreases exponentially with time.

Rate of event occuring is λ, the reciprocal of the average arrival/wait time, t: λ=1/t. Ex. t=10s, λ=.1
Rate of thing existing is λ, the reciprocal of the average number of things per unit area/space, t: λ=1/t. Ex. t=10 things, λ=.1

pdf(x)= λe-λx
Probability that the event happens in no more than (i.e. within) x amount of time:
probability that there is at least 1 thing in x area/space units:
    CDF(x) = P[X≤x] = 1-e-λx
Probability that the event happens in at least x amount of time: 1-CDF(x)=P[X>x]= e-λx

Given a probability percentile 0≤p≤1, what is the time x: Quantile InverseCDF Q(p)= -ln(1-p) / λ

Rate of happening/occuring/existing λ:

μ= 1/λ = average wait/arrival time t:     median = μ ln 2:     σ= 1/λ:

x:

CDF(x)=P[X≤x]= 1-e-λx:=p = -ln(1-p) / λ = x


The probability of waiting no more than the average wait time (x≤1/λ) is 1-1/e ≈ .632
The probability of waiting more than the average wait time (x>1/λ) is 1/e ≈ .3679
The probability of waiting no more than half the average wait time (x≤1/(2λ) is 1-1/√e ≈ .393
The probability of waiting between half the average wait time and the average waiting time is 1/√e-1/e ≈ .238
The probability of waiting no more than twice the average wait time (x≤2/λ) is 1-1/e2 ≈ .864
The probability of waiting more than twice the average wait time (x>2/λ) is 1/e2 ≈ .135