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Formula

Show calculation steps (2)
  1. Lower Cumulative Probability

    Lower Cumulative Probability: Exponential Distribution Calculator

    P(X <= x), the cumulative distribution function

  2. Upper Cumulative (Survival) Probability

    Upper Cumulative (Survival) Probability: Exponential Distribution Calculator

    P(X > x), the survival function

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Results

Probability density f(x)
0.135335
Lower cumulative probability P(X ≤ x) 0.864665
Upper cumulative probability P(X > x) 0.135335

What this calculator does

This tool evaluates the exponential distribution at a chosen point x for a given scale parameter b. It returns three quantities: the probability density f(x), the lower (left) cumulative probability P(X ≤ x), and the upper (right) cumulative probability P(X > x). The exponential distribution is universal mathematics — the same everywhere — and is widely used to model waiting times, lifetimes, and the gaps between independent random events.

How to use it

Enter a non-negative percentile point x and a strictly positive scale parameter b, then read the three outputs. Here b is the scale, equal to the mean of the distribution; the rate parameter is \(\lambda = 1/b\). If your textbook uses the rate parameterization, simply set \(b = 1/\lambda\) before entering it.

The formula explained

For \(x \ge 0\) and \(b > 0\):

  • Density: $$f(x) = \frac{1}{b}\, e^{-x/b}$$
  • Lower cumulative (CDF): $$P(X \le x) = 1 - e^{-x/b}$$
  • Upper cumulative (survival): $$P(X > x) = e^{-x/b}$$

Because the survival term \(e^{-x/b}\) is computed once and reused, the lower and upper cumulative probabilities always add to exactly 1.

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Exponential density curve with shaded left and right tail areas at point x
The decaying density curve: area left of x is the lower cumulative probability, area right is the upper.

Worked example

Take \(x = 2\) and \(b = 1\). The ratio \(x/b = 2\), and \(e^{-2} \approx 0.135335\). So the density is $$f(2) = \frac{1}{1}\cdot 0.135335 = 0.135335,$$ the lower cumulative is \(1 - 0.135335 = 0.864665\), and the upper cumulative is \(0.135335\). Check: \(0.864665 + 0.135335 = 1.0\).

FAQ

What is the scale parameter b? It is the mean of the exponential distribution. A larger b spreads the distribution out and lowers the density near zero.

What if b is the rate instead? If you have the rate \(\lambda\), enter \(b = 1/\lambda\). For example, rate 0.5 means scale \(b = 2\).

What happens at x = 0? The density equals \(1/b\), the lower cumulative is 0, and the upper cumulative is 1, since no time has elapsed yet.

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