MediumStatisticsst-366

Chi Square Goodness of Fit Statistic

Problem

The chi-square goodness-of-fit statistic is sum_i (observed_i - expected_i)^2 / expected_i.

Given the observed and expected counts, return the statistic.

Hint

Each squared deviation is scaled by the expected count.

case 1

in: [[10,20],[15,15]]

expected: 3.3333333333333335

case 2

in: [[10,10,10],[10,10,10]]

expected: 0

case 3

in: [[30,10],[20,20]]

expected: 10

Starter codePython

def chi_square_goodness_of_fit_statistic(observed, expected):
    # Your code here
    pass

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