CODEWITHSUNDEEP
pythonstatisticsnormal-distribution
hhcar
hhcar

Reputation: 1

Find variance of a normal distribution

If we have a normal distribution defined by:

mu = 22
sigma = 20

def y(x):
    otv = 1/(sigma * np.sqrt(2 * np.pi)) * np.exp( - (x - mu)**2 / (2 * sigma**2))
    return otv

x1 = np.arange(0,50)
y1 = y(x1)

How can we use Python to find mu and sigma out of the given set of data (y1, x1)?

Upvotes: 0

Views: 579

Answers (1)

Frank Yellin
Frank Yellin

Reputation: 11240

numpy.std gives the standard deviation of an array. numpy.average gives its average. Both take all sorts of additional arguments.

>> y1.std()
0.00352871767572693

>> y1.mean()
0.0157037359404068

Upvotes: 1

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