Exponential Distribution Calculator

Find probabilities for an exponential distribution.

P(X ≤ x) 0.7769
Mean 2

Formula: P(X ≤ x) = 1 − e^(−λx); mean = 1/λ

Step-by-step with your numbers:
1. Values used:
2. Rate (λ) = 0.5
3. Value x = 3
4.
5. P(X ≤ x) = 0.7769
6. Mean = 2
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The exponential distribution models waiting times between random events.

How the Math Works

The exponential distribution calculator uses the fundamental formula P(X ≤ x) = 1 - e^(-λx) to determine the probability that a random event occurs within a specific time frame. Here, λ (lambda) represents the rate parameter, indicating how frequently events happen on average. The calculator subtracts the exponential function e^(-λx) from 1 to yield the cumulative probability up to time x. The mean of the distribution, calculated as 1/λ, tells us the average waiting time between events.

Practical Applications

To use this calculator for practical problems, first identify your rate parameter λ, which is the average number of events per unit of time. Input your desired time value x and the rate λ into the calculator. For example, if customers arrive at a store at an average rate of 5 per hour (λ = 5), you can find the probability that you'll wait less than 20 minutes (x = 1/3 hour) for the next customer by entering these values. The calculator will instantly provide your probability result.

Day-to-Day Use

This calculator helps solve everyday problems involving waiting times and event frequencies. You can estimate how long you'll likely wait for your next bus, determine the probability of equipment failure within a maintenance schedule, calculate the chance of receiving a phone call within the next hour, or predict customer arrival patterns for small business planning. It's particularly useful for making informed decisions about resource allocation, scheduling, and risk assessment in daily life scenarios involving random events over time.

Worked example

λ 0.5, x 3 → P ≈ 0.777, mean 2.

FAQ

What's the memoryless property?

The chance of waiting more doesn't depend on how long you've already waited.