Identify the error in this code that tries to perform a Chi-squared test:

medium📝 Debug Q14 of 15

SciPy - Statistical Tests

import numpy as np
from scipy.stats import chi2_contingency

observed = [[15, 25], [35, 25]]
chi2, p, dof, expected = chi2_contingency(observed)
print(p)

AObserved data must be a NumPy array, not a list

BNo error, code runs correctly

Cchi2_contingency requires 1D data, not 2D

DMissing import for chi2_contingency

Step-by-Step Solution

Solution:

Step 1: Check data type requirements for chi2_contingency
The function accepts array-like input, including lists of lists, so the observed data as a list of lists is valid.
Step 2: Verify imports and function usage
The import is correct, and the function call matches the expected signature. The code will run and print the p-value.
Final Answer:
No error, code runs correctly -> Option B
Quick Check:
chi2_contingency accepts lists; code runs fine [OK]

Quick Trick: chi2_contingency accepts lists or arrays for observed data [OK]

Common Mistakes:

MISTAKES

Thinking lists are invalid input
Assuming 1D data only
Forgetting to import function

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Identify the error in this code that tries to perform a Chi-squared test:

Step 1: Check data type requirements for chi2_contingency

Step 2: Verify imports and function usage

Final Answer:

Quick Check:

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