Kolmogorov-Smirnov test (K-S test) - Non parametric - One sample test | PSN Academy

Kolmogorov-Smirnov test (KS test) measures the goodness of fit of an observed data (also called empirical data) to a theoretical distribution for testing whether data follow a specified or assumed distribution or sample has come from a specified or assumed distribution or there is a significant difference between an observed distribution and a theoretical distribution.
Assumptions
(i) The sample is randomly selected from some unknown distribution.
(ii) The observations are independent.
(iii) The variable under study is continuous
Chapters
00:00 Introduction
00:13 What kind of test the K-S test does?
02:00 How to determine distribution statistics?
05:00 How does the K-S test work?
06:04 Why is maximum deviation considered in K-S test?
07:14 What are the steps for K-S test?
09:03 How to perform K-S test on a given data / example?
17:49 How to look into K-S table?
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