POISSON.DIST Excel function

The POISSON.DIST function in Excel is a powerful tool for calculating the probability of a given number of events occurring within a fixed interval of time or space. This function is particularly useful for scenarios involving statistically rare events, such as determining the number of phone calls received at a call center within an hour or the number of accidents at a busy intersection. By utilizing this function, users can easily analyze and interpret data that follow a Poisson distribution.

Syntax

=POISSON.DIST(x, mean, cumulative) 
  • x: The number of events (a non-negative integer) for which the probability is calculated.
  • mean: The expected mean number of events that occur in the given interval.
  • cumulative: A logical value where TRUE calculates the cumulative distribution function, and FALSE calculates the probability mass function.

Example #1

=POISSON.DIST(3, 2, FALSE) 
This function calculates the probability of exactly 3 events occurring when the average number of events is 2. The result is approximately 0.180.

Example #2

=POISSON.DIST(5, 4, TRUE) 
This function computes the cumulative probability of up to 5 events occurring, given an average of 4 events. The result is roughly 0.785.

Example #3

=POISSON.DIST(0, 1, FALSE) 
In this example, the function finds the probability of 0 events occurring with an expected mean of 1. The result is approximately 0.367.

Error handling

  • VALUE!: This error occurs if either x or mean is non-numeric.
  • NUM!: This error indicates that x is less than 0 or that mean is less than 0.
  • NAME?: This error means that Excel does not recognize the function name, often due to typos or incorrect spelling.

Conclusion

The POISSON.DIST function in Excel serves as a valuable tool for analyzing data that conform to the Poisson distribution. Whether you need to calculate the probability of a specific number of events occurring or find the cumulative probability for a range of events, understanding this function can enhance your statistical analysis capabilities. With its straightforward syntax and practical applications, POISSON.DIST is essential for anyone working with probabilistic data.

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