KS, Cookies, and Distributions: A Practical Dive into the Kolmogorov–Smirnov Test

In this episode, we unpack the Kolmogorov–Smirnov test—the nonparametric tool that compares whole distributions rather than just means. Learn how one-sample and two-sample KS tests work, how to interpret the statistic with the Kolmogorov distribution, and when KS is the right fit versus more specialized tests. Through cookie-batch analogies and real-world applications, we explore pitfalls, parameter estimation, discrete data, and the versatile role KS plays in data analysis.

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