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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.




# Import sympy and chisquared
from sympy.stats import ChiSquared, density
from sympy import Symbol
  
k = Symbol("k", integer = True, positive = True)
z = Symbol("z")
  
# Using sympy.stats.ChiSquared() method
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 :




# Import sympy and chisquared
from sympy.stats import ChiSquared, density
from sympy import Symbol
  
k = 3
z = 2
  
# Using sympy.stats.ChiSquared() method
X = ChiSquared("x", k)
gfg = density(X)(z)
  
pprint(gfg)

Output :

-1
e
——
____
\/ pi

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