In predicting the number of events that occur within a specific time, one cannot help but use the POISSON function. The following article details how to use the POISSON function, the function returns the Poisson distribution.
Description: The function returns the Poisson distribution, which is the basis for determining the number of events occurring over a defined period, for example, with the vehicle density on weekends, the number of vehicles passing through the toll booth in 1 minute. From the anticipation, there will be specific support measures.
Syntax: POISSON (x, mean, cumulative) .
Inside:
- x: Number of events, is a required parameter.
- mean: The value to be estimated (value in the form of numbers), is a required parameter.
- cumulative: A logical value that determines the format of the return value. The following values are available:
+ cumulative = TRUE => function returns the cumulative Poisson probability that 0
+ cumulative = FALSE: function returns the cumulative Poisson probability that the number of events = x.
Attention:
- Poission function is calculated by the formula:
+ cumulative = TRUE:
+ cumulative = FALSE:
- If x is a decimal, the function takes an integer value of x.
- x and the value must be numeric otherwise the function returns the #VALUE error.
- If x
- If mean the function returns the value #NUM !.
For example:
- Calculate Poission when cumulative = True :
In the cell to calculate enter the formula: = POISSON (D13, D14, D15) .
Pressing Enter results as:
- Calculate Poission when cumulative = False :
In the cell to calculate enter the formula: = POISSON (D13, D14, D16) .
Pressing Enter results as:
Thus the Poission function value at the cumulative value is different. Hopefully the Poission function will help you in predicting events that occur in a specified time period.
Good luck!