Poisson Probability Formula:
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Definition: This calculator computes the probability of a given number of events occurring in a fixed interval using the Poisson distribution.
Purpose: It's used in statistics to model rare events, such as call center arrivals, accident rates, or natural phenomena occurrences.
The calculator uses the formula:
Where:
Explanation: The formula calculates the probability of observing exactly x events when the average rate is λ.
Details: The Poisson distribution is crucial for modeling count data where events occur independently at a constant average rate.
Tips: Enter the mean rate (λ) and the number of events (x) you want to calculate probability for. Both values must be ≥ 0.
Q1: When should I use the Poisson distribution?
A: Use it when modeling rare events with a known average rate, where events occur independently of each other.
Q2: What's a typical value for λ?
A: λ can be any non-negative number. In practice, values between 0.1 and 10 are common, but it depends on your specific scenario.
Q3: What if x is a large number?
A: The calculator can handle large x values (up to 170 for factorial calculation), but probabilities become very small for large x when λ is modest.
Q4: How is this different from binomial distribution?
A: Poisson is for rare events with no fixed number of trials, while binomial is for a fixed number of trials with success probability.
Q5: Can I calculate cumulative probabilities?
A: This calculator gives exact probabilities. For cumulative probabilities (P(X≤x)), you would need to sum individual probabilities.