This Exponential Distribution Calculator helps users compute probability density, cumulative probability, and descriptive statistics like mean, variance, and median for a given rate parameter (λ) and x value.
Exponential Distribution Calculator
Use Our Exponential Distribution Calculator
How to Use the Exponential Distribution Calculator
The Exponential Distribution Calculator is designed to help you compute various statistical properties of an exponential distribution given a rate parameter (λ) and x value. Follow the steps below to use the calculator effectively.
Step 1: Enter the Rate Parameter (λ)
Rate Parameter (λ): The first input you need to provide is the rate parameter, denoted by λ.
Instructions:
- Locate the input field labeled Rate Parameter (λ).
- Enter a positive numerical value for λ, which represents the rate of events occurring. Ensure that λ is greater than 0.
- The input field will only accept numbers with a minimum value of 0.0001, and you can increment or decrement by 0.0001.
Step 2: Provide the X Value
X Value: The second input required is the x value, which typically represents the time or space over which the exponential distribution is evaluated.
Instructions:
- Locate the input field labeled X Value.
- Enter a numerical value for x. Ensure that x is a non-negative number (x ≥ 0).
- The input field accepts numbers in increments of 0.0001.
Step 3: View the Results
Once you have entered both the rate parameter and x value, the calculator will compute several properties of the exponential distribution. Below is a list of results you will receive:
- Probability Density f(x): Calculated using the formula: λ * exp(-λ * x). This represents the value of the probability density function at x.
- Cumulative Probability F(x): Calculated as 1 – exp(-λ * x). This represents the cumulative probability up to x.
- Mean (Expected Value): Given by 1 / λ, it represents the average expected value of the distribution.
- Variance: Calculated as 1 / (λ * λ), it indicates the variance of the distribution.
- Standard Deviation: This is simply 1 / λ, representing the standard deviation of the distribution, equivalent to the mean for the exponential distribution.
- Median: Derived as ln(2) / λ, it represents the median of the distribution.
Results are formatted to ensure precision and readability: Probability Density and Cumulative Probability are displayed with six decimal places, while Mean, Variance, Standard Deviation, and Median are displayed with four decimal places.