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1 | 1 | # Statistics and Probability in Python 📊 📈   |
2 | 2 |
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| 3 | +> **`Note`**: This repository is still developing. |
3 | 4 |
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4 | 5 | <p align="center"> |
5 | 6 | <img width="500" height="350" src="https://cdn.dribbble.com/users/962944/screenshots/14138307/media/ca3377660c3d2053c9d91ac175871429.gif"> |
6 | 7 | </p> |
7 | 8 |
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8 | | -## Table of content |
| 9 | +## Table of content ✍️ |
9 | 10 |
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10 | 11 | **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> [](https://nbviewer.org/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%201%20Special%20Continuous%20Random%20Variables.ipynb) |
11 | 12 |
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42 | 43 | - 3.4. Confidence Interval for the Ratio of Variances of Two Normal Populations |
43 | 44 | - 3.5. Confidence Interval for the Mean of a Bernoulli Random Variable |
44 | 45 |
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45 | | -**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> [ |
| 46 | +**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> [](https://nbviewer.org/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%204%20Parametric%20Hypothesis%20Testing.ipynb) |
46 | 47 |
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47 | 48 | - 4.1. Introduction |
48 | 49 | - 4.2. Test Concerning the Mean of a Normal Population |
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55 | 56 | - 4.5. Test Concerning the Variance of a Normal Population |
56 | 57 | - 4.6. Test Concerning the Equality of Variances of Two Normal Populations |
57 | 58 | - 4.7. Test Concerning P in Bernoulli Populations |
58 | | -4.8. Test Concerning the Equality of P in Two Bernoulli Populations |
| 59 | +- 4.8. Test Concerning the Equality of P in Two Bernoulli Populations |
| 60 | + |
| 61 | +**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> [](https://nbviewer.org/github/Pegah-Ardehkhani/Statistics-and-Probability-in-Python/blob/main/Chapter%205%20Statistical%20Hypothesis%20Testing.ipynb) |
| 62 | + |
| 63 | +- 5.1. Normality Tests |
| 64 | + - 5.1.1. Shapiro-Wilk Test |
| 65 | + - 5.1.2. D’Agostino’s Test |
| 66 | + - 5.1.3. Anderson-Darling Test |
| 67 | +- 5.2. Correlation Tests |
| 68 | + - 5.2.1. Pearson’s Correlation Coefficient |
| 69 | + - 5.2.2. Spearman’s Rank Correlation |
| 70 | + - 5.2.3. Kendall’s Rank Correlation |
| 71 | + - 5.2.4. Chi-Squared Test |
| 72 | +- 5.3. Stationary Tests |
| 73 | + - 5.3.1. Augmented Dickey-Fuller Unit Root Test |
| 74 | + - 5.3.2. Kwiatkowski-Phillips-Schmidt-Shin Test |
| 75 | +- 5.4. Other Tests |
| 76 | + - 5.4.1. Mann-Whitney U-Test |
| 77 | + - 5.4.2. Wilcoxon Signed-Rank Test |
| 78 | + - 5.4.3. Kruskal-Wallis H Test |
| 79 | + - 5.4.4. Friedman Test |
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