Normal MLE Sigma Known Mean

Problem

With the mean known, the maximum likelihood estimate of sigma is sqrt(mean_i (x_i - mu)^2) using n rather than n - 1.

Given the values and the known mean, return the MLE of sigma.

Hint

The MLE divides by n, unlike the unbiased sample standard deviation.

case 1

in: [[1,3],2]

expected: 1

case 2

in: [[2,4,4,2],3]

expected: 1

case 3

in: [[0],0]

expected: 0

Starter codePython

def normal_mle_sigma_known_mean(values, mu):
    # Your code here
    pass

3 test cases · run your code against them in the editor