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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)

See Also

cdfbin_p,cdfbin_xn,cdfbin_pr

Examples

Example 1

     p     = 0.95
     xn    = 30.0
     pr    = 0.75

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