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 probability theory and statistics to model rare events, such as call center arrivals, traffic flow, or equipment failures.
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). Both must be non-negative values.
Q1: When should I use the Poisson distribution?
A: Use it when modeling rare events with a known average rate, where events are independent.
Q2: What's a typical value for λ?
A: λ can be any non-negative number. Values between 0.1 and 10 are common in practical applications.
Q3: What if x is large (e.g., >20)?
A: The calculator handles large x values using efficient factorial computation methods.
Q4: Can λ be zero?
A: Yes, but then P(0) = 1 and P(x>0) = 0, meaning no events will occur.
Q5: How accurate are the results?
A: Results are accurate to 6 decimal places, sufficient for most statistical applications.