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Percent point x
0.510826
quantile / inverse CDF value
Distribution Exponential (scale b)
Lower-mode formula x = -b · ln(1 - P)
Upper-mode formula x = -b · ln(Q)

What this calculator does

This is a pure-mathematics statistics tool for the exponential distribution. It computes the percent point (also called the quantile or inverse cumulative distribution function) x given a cumulative probability and the scale parameter b. The exponential distribution is universal — it models waiting times between independent events that occur at a constant average rate — so this calculator applies identically everywhere.

How to use it

Choose the cumulative mode. Select Lower cumulative P if your entered probability is the lower-tail probability P (the area to the left of x), or Upper cumulative Q if it is the upper-tail probability Q (the area to the right). Enter the probability value between 0 and 1, then enter the scale parameter b, which must be positive. The scale b equals the distribution mean, where \(b = 1/\lambda\). The result x is reported in the same units as b.

The formula explained

The exponential probability density is \(f(x) = (1/b)\cdot\exp(-x/b)\) for \(x \ge 0\). Its lower cumulative function is \(P(x) = 1 - \exp(-x/b)\), and its upper cumulative function is \(Q(x) = \exp(-x/b)\). Inverting these gives the percent point. In lower mode, $$x = -b\cdot\ln(1 - P).$$ In upper mode, $$x = -b\cdot\ln(Q).$$ Both reduce to \(x = -b\cdot\ln(Q)\) where Q is the upper-tail probability, with ln being the natural logarithm (base e).

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Cumulative distribution function curve of the exponential distribution showing inversion from probability P to percentile x
Reading the inverse CDF: choose probability P on the vertical axis and read across to the corresponding percentile x.
Exponential distribution PDF curve with shaded lower-tail area P up to the percentile x
The percentile x is the value where the lower-tail cumulative probability equals P under the exponential curve.

Worked example

Suppose cumulativeMode is Lower, probability P = 0.4 and scale b = 1. Then $$x = -1\cdot\ln(1 - 0.4) = -\ln(0.6) = 0.51083.$$ Check: \(P(0.51083) = 1 - \exp(-0.51083) = 1 - 0.6 = 0.4\). Correct.

FAQ

What is the scale parameter b? It is the mean of the distribution, \(b = 1/\lambda\), where \(\lambda\) is the rate. A larger b means events take longer on average.

Why can the result be infinite? In lower mode P = 1 (or upper mode Q = 0) corresponds to the entire tail, which pushes x to infinity. The calculator reports this case rather than returning a number.

Lower vs upper mode — which should I pick? Use lower mode when you know the cumulative probability up to x (a percentile such as the median). Use upper mode when you know a survival or exceedance probability beyond x.

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