Colab link to the basic template with sections to fill and a tiny code sample
As a part of an Advanced Statistics Course at Innopolis University students suggested to implement Jupyter Notebook with interactive visual representation of several {which exactly?} distributions, statistics, statistical tests distributions and so on {what else?}
To provide a set of tools to help building intuition and visual recognition of most popular of mentioned topics
The course consists of several {these} topics. Every topic is presented as a Jupyter Notebook. Every notebook has the following template {link to a template}:
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Introduction
1.1 What is the distribution
1.2 Where it can be used/met
1.3 Known caveats/corener stones, etc.
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Data loading/synthesis/generation
2.1 Synthetical data sampling
2.2 Real world data if exists
2.3 Data exploration (interactive charts)
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Applications
3.1 A sample task statement
3.2 Data collection
3.3 Hypothesis statement
3.4 Statistical tests
3.5 Visualization
3.6 Conclusion
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Conclusion
4.1 Where is this statistic/test/distribution is used
4.2 What are the crititcal caveats/corner stones/limits of application
4.3 What are the similar/opposite examples of statistics/tests/distribuitons if exist