Identify the error in this code snippet for performing a chi-square goodness of fit test:

medium📝 Debug Q14 of 15

SciPy - Curve Fitting and Regression

from scipy.stats import chisquare
observed = [15, 25, 35]
expected = [20, 20]
result = chisquare(f_obs=observed, f_exp=expected)
print(result)

AObserved and expected arrays have different lengths

Bchisquare function is not imported correctly

CExpected frequencies must be integers

DMissing p-value extraction from result

Step-by-Step Solution

Solution:

Step 1: Check input array lengths
The observed array has 3 elements, but expected has only 2 elements, which is invalid for chi-square test.
Step 2: Understand scipy requirement
Both observed and expected arrays must be the same length to compare frequencies correctly.
Final Answer:
Observed and expected arrays have different lengths -> Option A
Quick Check:
Array length mismatch causes error [OK]

Quick Trick: Observed and expected must be same length [OK]

Common Mistakes:

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