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}:

1. Introduction

   1.1 What is the distribution

   1.2 Where it can be used/met

   1.3 Known caveats/corener stones, etc.

2. Data loading/synthesis/generation

   2.1 Synthetical data sampling

   2.2 Real world data if exists

   2.3 Data exploration (interactive charts)

3. 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

4. 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