SciPy - Statistical Tests
Why might Spearman correlation be preferred over Pearson correlation when analyzing data with outliers?
Why might Spearman correlation be preferred over Pearson correlation when analyzing data with outliers?
hard📝 Conceptual Q10 of 15
Step-by-Step Solution
Solution:
Step 1: Understand effect of outliers on correlations
Pearson correlation uses raw values and is sensitive to extreme values (outliers).Step 2: Spearman correlation uses ranks
By converting data to ranks, Spearman reduces the influence of outliers on the correlation measure.Final Answer:
Spearman uses ranks, reducing outlier impact -> Option CQuick Check:
Spearman correlation is robust to outliers due to rank use [OK]
Quick Trick: Ranks reduce outlier influence in Spearman correlation [OK]
Common Mistakes:
MISTAKES- Thinking Spearman ignores outliers completely
- Assuming Pearson is undefined with outliers
- Believing Spearman is always faster
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