[Solved] What is the output of this code snippet?from scipy.stats import ks_2samp sample1 = [10, 20, 30, 40, 50] sample2 = [15, 25, 35, 45, 55] result = ks_2samp(sample1, sample2) print(round(result.... | SciPy

SciPy - Statistical Tests

What is the output of this code snippet?

from scipy.stats import ks_2samp
sample1 = [10, 20, 30, 40, 50]
sample2 = [15, 25, 35, 45, 55]
result = ks_2samp(sample1, sample2)
print(round(result.statistic, 2))

A0.8

B0.4

C0.6

D0.2

Step-by-Step Solution

Solution:

Step 1: Understand KS statistic
The KS statistic is the maximum difference between the empirical CDFs of the two samples.
Step 2: Calculate empirical CDF differences
Samples are shifted by 5 units; the maximum difference in cumulative proportions is 0.2.
Step 3: Round the statistic
The computed KS statistic is 0.2, rounded to two decimals remains 0.2.
Final Answer:
0.2 -> Option D
Quick Check:
Check max difference between sorted cumulative distributions [OK]

Quick Trick: KS statistic = max difference between empirical CDFs [OK]

Common Mistakes:

MISTAKES

Confusing p-value with statistic
Not rounding the statistic correctly
Misunderstanding how KS statistic is computed

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What is the output of this code snippet?

Step 1: Understand KS statistic

Step 2: Calculate empirical CDF differences

Step 3: Round the statistic

Final Answer:

Quick Check:

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