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# Statistics and Probability in Python 📊 📈 ![license](https://img.shields.io/github/license/Pegah-Ardehkhani/Statistics-and-Probability-in-Python.svg) ![releases](https://img.shields.io/github/release/Pegah-Ardehkhani/Statistics-and-Probability-in-Python.svg)
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> **`Note`**: This repository is still developing.
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<p align="center">
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<img width="500" height="350" src="https://cdn.dribbble.com/users/962944/screenshots/14138307/media/ca3377660c3d2053c9d91ac175871429.gif">
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## Table of content
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## Table of content ✍️
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**Chapter 1: Special Continuous Random Variables:** <a href="https://colab.research.google.com/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%201%20Special%20Continuous%20Random%20Variables.ipynb" target="_parent\"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> [![nbviewer](https://img.shields.io/badge/render-nbviewer-orange.svg)](https://nbviewer.org/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%201%20Special%20Continuous%20Random%20Variables.ipynb)
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- 3.4. Confidence Interval for the Ratio of Variances of Two Normal Populations
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- 3.5. Confidence Interval for the Mean of a Bernoulli Random Variable
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**Chapter 4: Parametric Hypothesis Testing:** <a href="https://colab.research.google.com/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%204%20Parametric%20Hypothesis%20Testing.ipynb" target="_parent\"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> [![nbviewer](https://nbviewer.org/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%204%20Parametric%20Hypothesis%20Testing.ipynb)
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**Chapter 4: Parametric Hypothesis Testing:** <a href="https://colab.research.google.com/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%204%20Parametric%20Hypothesis%20Testing.ipynb" target="_parent\"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> [![nbviewer](https://img.shields.io/badge/render-nbviewer-orange.svg)](https://nbviewer.org/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%204%20Parametric%20Hypothesis%20Testing.ipynb)
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- 4.1. Introduction
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- 4.2. Test Concerning the Mean of a Normal Population
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- 4.5. Test Concerning the Variance of a Normal Population
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- 4.6. Test Concerning the Equality of Variances of Two Normal Populations
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- 4.7. Test Concerning P in Bernoulli Populations
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4.8. Test Concerning the Equality of P in Two Bernoulli Populations
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- 4.8. Test Concerning the Equality of P in Two Bernoulli Populations
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**Chapter 5: Statistical Hypothesis Testing:** <a href="https://colab.research.google.com/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%205%20Statistical%20Hypothesis%20Testing.ipynb" target="_parent\"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> [![nbviewer](https://img.shields.io/badge/render-nbviewer-orange.svg)](https://nbviewer.org/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%205%20Statistical%20Hypothesis%20Testing.ipynb)
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- 5.1. Normality Tests
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- 5.1.1. Shapiro-Wilk Test
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- 5.1.2. D’Agostino’s Test
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- 5.1.3. Anderson-Darling Test
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- 5.2. Correlation Tests
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- 5.2.1. Pearson’s Correlation Coefficient
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- 5.2.2. Spearman’s Rank Correlation
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- 5.2.3. Kendall’s Rank Correlation
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- 5.2.4. Chi-Squared Test
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- 5.3. Stationary Tests
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- 5.3.1. Augmented Dickey-Fuller Unit Root Test
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- 5.3.2. Kwiatkowski-Phillips-Schmidt-Shin Test
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- 5.4. Other Tests
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- 5.4.1. Mann-Whitney U-Test
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- 5.4.2. Wilcoxon Signed-Rank Test
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- 5.4.3. Kruskal-Wallis H Test
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- 5.4.4. Friedman Test

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