Poisson Probability Formula:
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The Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events occur with a known constant mean rate and independently of the time since the last event.
The calculator uses the Poisson probability formula:
Where:
Explanation: The formula calculates the probability of exactly k events occurring in a fixed interval when events occur at a constant average rate λ.
Details: The Poisson distribution is commonly used in various fields including telecommunications, traffic flow analysis, quality control, insurance, and epidemiology to model rare events occurring over time or space.
Tips: Enter the average rate (λ) as a positive number and the number of occurrences (k) as a non-negative integer. Both values must be valid (λ ≥ 0, k ≥ 0).
Q1: What is the range of possible values for Poisson probability?
A: Poisson probability values range from 0 to 1, where 0 means impossible and 1 means certain.
Q2: When is the Poisson distribution appropriate?
A: It's appropriate when events are independent, the average rate is constant, and two events cannot occur at exactly the same instant.
Q3: What is the relationship between Poisson and binomial distributions?
A: The Poisson distribution can be derived as a limiting case of the binomial distribution when the number of trials is large and the probability of success is small.
Q4: What are the mean and variance of a Poisson distribution?
A: Both the mean and variance of a Poisson distribution are equal to λ.
Q5: Can λ be a decimal value?
A: Yes, λ can be any non-negative real number, including decimal values.