位 = 1, t = 1
Rate Parameter (位): 1; Time (t): 1
Median Time: 0.6931471806; Mean (Average Time): 1; Cumulative Distribution Function (CDF): 0.6321205588; Probability Density Function (PDF): 0.3678794412
Calculates probabilities related to the time until an event occurs in a Poisson process. The exponential distribution models the time until an event happens, given an average rate of occurrence.
Start with your values, or try a preset.
Enter Rate Parameter (位) and Time (t) in the units shown.
Read Median Time, Mean (Average Time), Cumulative Distribution Function (CDF), and Probability Density Function (PDF) in the results panel. Results update as you change the inputs.
Choose a preset to load an example, then adjust the values for your situation.
See the inputs and their calculated results.
Rate Parameter (位): 1; Time (t): 1
Median Time: 0.6931471806; Mean (Average Time): 1; Cumulative Distribution Function (CDF): 0.6321205588; Probability Density Function (PDF): 0.3678794412
Rate Parameter (位): 2; Time (t): 0.5
Median Time: 0.3465735903; Mean (Average Time): 0.5; Cumulative Distribution Function (CDF): 0.6321205588; Probability Density Function (PDF): 0.7357588823
Rate Parameter (位): 0.5; Time (t): 2
Median Time: 1.386294361; Mean (Average Time): 2; Cumulative Distribution Function (CDF): 0.6321205588; Probability Density Function (PDF): 0.1839397206
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