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What is an ECDF and why is it useful?

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Answer

  • Empirical Cumulative Distribution Function: Fn(x)  =  (1/n)    ΣF_{n}(x)\; = \;(1 / n)\; \cdot \;{\Sigma} 1(Xi    x)1(X_{i}\; \le \;x).
  • Plots the fraction of data ≤ x for every x.
  • No binning — no arbitrary choice like histograms.
  • Useful for: comparing distributions visually (overlap two ECDFs), computing quantiles at a glance, checking distributional assumptions (compare ECDF to a theoretical CDF via Kolmogorov-Smirnov test).
Check yourself — multiple choice
  • Same as histogram
  • Empirical CDF: fraction ≤ x, no binning; useful for comparing distributions and KS-test
  • Requires bins
  • Not smooth

ECDF: no-binning distribution view; foundation of KS-test.

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Practise Statistics Fundamentals

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