Quantcast

Documentation Center

  • Trial Software
  • Product Updates

stats::binomialPF

Probability function of the binomial distribution

Use only in the MuPAD Notebook Interface.

This functionality does not run in MATLAB.

Syntax

stats::binomialPF(n, p)

Description

stats::binomialPF(n, p) returns a procedure representing the probability function

for x=0,1,..,n of the binomial distribution with "trial parameter" n and "probability parameter" p.

The procedure f := stats::binomialPF(n, p) can be called in the form f(x) with arithmetical expressions x. The return value of f(x) is either a floating-point number, an exact numerical value, or a symbolic expression:

  • If x is a non-integer numerical value, f(x) returns 0 or 0.0, respectively.

  • If x is an integer or the floating point equivalent of an integer and n is a positive integer, then an explicit value is returned. If p is a numerical value satisfying 0 ≤ p ≤ 1, this is a numerical value. Otherwise, it is a symbolic expression in p.

    For symbolic values of n, explicit results are returned if x is a numerical value withx < 2.

  • For symbolic values of n, explicit results are returned if n - x is a numerical value withn - x < 2.

  • In all other cases, f(x) returns the symbolic call stats::binomialPF(n,p)(x).

Numerical values for n are only accepted if they are positive integers.

Numerical values for p are only accepted if they satisfy 0 ≤ p ≤ 1.

If x is a floating-point number, the result is a floating number provided n and p are numerical values. If x is an exact value, the result is an exact number.

Note that for large n, floating-point results are computed much faster than exact results. If floating-point approximations are desired, pass a floating-point number x to the procedure created by stats::binomialPF.

Environment Interactions

The function is sensitive to the environment variable DIGITS which determines the numerical working precision.

Examples

Example 1

We compute the probability function with n = 3 and at various points:

f := stats::binomialPF(3, 3/4): 
f(-1/2), f(0), f(1/2), f(1), f(7/4), f(2), f(3), f(4)

f(-0.2), f(0.0), f(0.7), f(1.0), f(2.0), f(2.7), f(3.0), f(4.0)

delete f:

Example 2

We use symbolic arguments:

f := stats::binomialPF(n, p): f(x), f(8), f(8.0)

When real numbers are assigned to n and p, the function f starts to produce explicit results if the argument is numerical:

n := 3: p := 1/3:
f(0), f(1), f(2.0), f(3.5), f(4)

delete f, n, p, x:

Example 3

If n and x are numerical, symbolic expressions are returned for symbolic values of p:

f := stats::binomialPF(3, p):
f(-1), f(0), f(3/2), f(2), f(3)

delete f:

Parameters

n

The "trial parameter": an arithmetical expression representing a positive integer

p

The "probability parameter": an arithmetical expression representing a real number 0 ≤ p ≤ 1.

Return Values

procedure.

See Also

MuPAD Functions

Was this topic helpful?