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Gamma Distribution

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Calculate

Example: on average, 3 customers an hour arrive at a shop. How long until the day's 5th customer, and what is the chance they arrive within 2 hours? Change the values to work out your own case.

Step by step

    What each term means

    Density (f(x))
    The height of the curve at x, for x ≥ 0. As in any continuous distribution, probabilities are areas under it.
    Rate to the Power k (λᵏ)
    The rate of events per unit of time, raised to the number of events awaited. Together with Γ(k), it makes the total area equal 1.
    Power of x (xᵏ⁻¹)
    Makes the curve start near zero and rise: it is unlikely that k events all happen in a very short time. With k = 1 it vanishes, leaving the exponential.
    Decay (e^(−λx))
    Makes the curve fall for long times, as in the exponential.
    Gamma Function (Γ(k))
    The generalization of the factorial: Γ(k) = (k − 1)! for integer k. It lets the shape k be any positive number.