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# cdfbin_pr

Calculates the probability of success of each trial of a cumulative distribution function.

## Prototype

```	function cdfbin_pr (
p   : numeric,
s   : numeric,
xn  : numeric
)

return_val  :  numeric
```

## Arguments

p

A multi-dimensional array or scalar value equal to the binomial density. The binomial density is the probability of s or fewer successes in xn trials each with probability of success pr (input/output range: [0,1]).

s

A multi-dimensional array or scalar value equal to the number of observed successes (Must be > 0)

xn

A multi-dimensional array or scalar value equal to the number of binomial trials (Must be > 0). Must be the same size as s.

## Return value

A array of the same size as s. Double if any of the input arguments are double, float otherwise.

## Description

Calculates the probability of success of each trial of a cumulative distribution function.

The source code is from source routine "CDFBIN" from DCDFLIB (Double precision Cumulative Distribution Function LIBrary)

## Examples

Example 1

```     p     = 0.95
xn    = 30.0
s     = 25.7267

PR= cdfbin_pr(p,s,xn)
print("PR="+PR)             ; PR= 0.75
```