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# cdfbin_s

Calculates the number of successes of a cumulative distribution function.

## Prototype

```	function cdfbin_s (
p   : numeric,
xn  : numeric,
pr  : 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]).

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.

pr

A multi-dimensional array or scalar value equal to the the probability of success in each binomial trial [0,1] Must be the same size as s.

## Return value

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

## Description

Calculates the number of successes 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
pr    = 0.75

s = cdfbin_s(p,xn,pr)
print("s="+s)               ; s = 25.7267
```