sympy.stats.Die() function in Python

sympy.stats.FDistribution() in python

Last Updated : 05 Jun, 2020

With the help of sympy.stats.FDistribution() method, we can get the continuous random variable representing the F distribution.

Syntax : sympy.stats.FDistribution(name, d1, d2) Where, d1 and d2 denotes the degree of freedom. Return : Return continuous random variable.

Example #1 : In this example we can see that by using sympy.stats.FDistribution() method, we are able to get the continuous random variable which represents the F distribution by using this method.

Python3 1=1

# Import sympy and FDistribution
from sympy.stats import FDistribution, density
from sympy import Symbol

d1 = Symbol("d1", integer = True, positive = True)
d2 = Symbol("d2", integer = True, positive = True)
z = Symbol("z")

# Using sympy.stats.FDistribution() method
X = FDistribution("x", d1, d2)
gfg = density(X)(z)

pprint(gfg)

Output :

d2 -- ______________________________ 2 / d1 -d1 - d2 d2 *\/ (d1*z) *(d1*z + d2) -------------------------------------- /d1 d2\ z*B|--, --| \2 2 /

Example #2 :

Python3 1=1

# Import sympy and FDistribution
from sympy.stats import FDistribution, density
from sympy import Symbol

d1 = 5
d2 = 6
z = 1

# Using sympy.stats.FDistribution() method
X = FDistribution("x", d1, d2)
gfg = density(X)(z)

pprint(gfg)

Output :

____ 5400*\/ 55 ----------------- 1771561*B(5/2, 3)

sympy.stats.Die() function in Python

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