Exponential Distribution Calculator

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.

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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.