sympy.stats.ChiSquared() in python
Last Updated :
05 Jun, 2020
With the help of sympy.stats.ChiSquared()
method, we can get the continuous random variable representing the chi-squared distribution.
Syntax : sympy.stats.ChiSquared(name, k)
Return : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.ChiSquared()
method, we are able to get the continuous random variable which represents the chi-squared distribution by using this method.
from sympy.stats import ChiSquared, density
from sympy import Symbol
k = Symbol( "k" , integer = True , positive = True )
z = Symbol( "z" )
X = ChiSquared( "x" , k)
gfg = density(X)(z)
pprint(gfg)
|
Output :
-k k -z
— – – 1 —
2 2 2
2 *z *e
—————-
/k\
Gamma|-|
\2/
Example #2 :
from sympy.stats import ChiSquared, density
from sympy import Symbol
k = 3
z = 2
X = ChiSquared( "x" , k)
gfg = density(X)(z)
pprint(gfg)
|
Output :
-1
e
——
____
\/ pi
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