[Solved] Find the error in this code snippet:import numpy as np from scipy.stats import chi2_contingency observed = np.array([[5, 10], [15]]) chi2, p, dof, expected = chi2_contingency(observed) print(chi2) | SciPy

SciPy - Statistical Tests

Find the error in this code snippet:

import numpy as np
from scipy.stats import chi2_contingency

observed = np.array([[5, 10], [15]])
chi2, p, dof, expected = chi2_contingency(observed)
print(chi2)

ANo error, code runs correctly

Bchi2_contingency does not return four values

CImport statement is missing parentheses

DObserved array rows have unequal lengths causing an error

Step-by-Step Solution

Solution:

Step 1: Check shape of observed array
The second row has only one element, causing a ragged array error.
Step 2: Understand NumPy array requirements
NumPy arrays must have equal-length rows; ragged arrays cause errors.
Final Answer:
Observed array rows have unequal lengths causing an error -> Option D
Quick Check:
NumPy arrays require equal-length rows [OK]

Quick Trick: All rows in NumPy arrays must be same length [OK]

Common Mistakes:

MISTAKES

Ignoring ragged array error
Assuming chi2_contingency returns different values
Misreading import syntax

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Find the error in this code snippet:

Step 1: Check shape of observed array

Step 2: Understand NumPy array requirements

Final Answer:

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