[Solved] What will be the output of this code?from scipy.stats import chisquare observed = [10, 20, 30] expected = [15, 15, 30] result = chisquare(f_obs=observed, f_exp=expected) print(round(result.... | SciPy

SciPy - Curve Fitting and Regression

What will be the output of this code?

from scipy.stats import chisquare
observed = [10, 20, 30]
expected = [15, 15, 30]
result = chisquare(f_obs=observed, f_exp=expected)
print(round(result.statistic, 2))

A2.22

B0.89

C1.67

D3.33

Step-by-Step Solution

Solution:

Step 1: Calculate chi-square statistic manually
Formula: sum((observed - expected)^2 / expected) = ((10-15)^2/15) + ((20-15)^2/15) + ((30-30)^2/30) = (25/15)+(25/15)+0 = 1.6667 + 1.6667 + 0 = 3.3334
Step 2: Check code output
The code uses scipy.stats.chisquare which returns statistic and p-value. The statistic is 3.33 approx. But the code prints rounded to 2 decimals: 3.33
Final Answer:
3.33 -> Option D
Quick Check:
Chi-square stat = 3.33 [OK]

Quick Trick: Chi-square stat = sum((O-E)^2/E) rounded [OK]

Common Mistakes:

Mixing up observed and expected in formula
Not squaring the difference
Rounding incorrectly

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What will be the output of this code?

Step 1: Calculate chi-square statistic manually

Step 2: Check code output

Final Answer:

Quick Check:

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