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A basic report and code to apply Kolmogorov Smirnov tests on a given set of data using Jupyter Notebook.

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KS-Test

This is a repository that contains the methodology and a sample code based on the Kolmogorov-Smirnov Test.

test.csv

This file contains the dataset that has been utilised to implement the KS test in the sample code provided. The dataset contains information pertaining to cardiovascular study in human beings. URL: https://www.kaggle.com/christofel04/cardiovascular-study-dataset-predict-heart-disea/code

KS Test.ipynb

Contains the code for testing the KS Test by the Critical Value Approach for the Cardiovascular Study Data as well as an example of how to obtain the ECDF and CDF curves for a random set of 100 numbers.

KS Test.pdf

A report on the methodology of the KS Test and summarising the work behind the Python code.

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A basic report and code to apply Kolmogorov Smirnov tests on a given set of data using Jupyter Notebook.

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