{"id":23008744,"url":"https://github.com/shoaib1522/probability-statistics","last_synced_at":"2026-05-19T14:07:39.695Z","repository":{"id":268015075,"uuid":"903026519","full_name":"shoaib1522/Probability-Statistics","owner":"shoaib1522","description":"This repository is a comprehensive collection of assignments, lecture notes, and projects focused on Probability and Statistics. 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`IMG_20231011_180232.jpg`\n  - `IMG_20231011_180238.jpg`\n  - `IMG_20231011_180244.jpg`\n  - `IMG_20231011_180250.jpg`\n  - `IMG_20231011_180256.jpg`\n  - `IMG_20231011_180303.jpg`\n\n### 2. **Lecture Notes**\nComprehensive lecture notes covering the entire syllabus of Probability and Statistics:\n\n- **Introduction**:\n  - `Lecture 1-Introduction-Prob.pdf`\n  - `Lecture 2-SampleSpace.pdf`\n  - `Lecture 3-AdditionRule.pdf`\n\n- **Core Probability Topics**:\n  - `Lecture 5_ConditionalProb.pdf`\n  - `Lecture 6-Introduction-Permutations and Comb.pdf`\n\n- **Distributions**:\n  - `Lecture 8-BinomialDist-Part1.pdf`\n  - `Lecture 9-BinomialDist-Part2.pdf`\n  - `Lecture 10-HypergeometricDist -Part 1 and Part 2.pdf`\n  - `Lecture 11-Multinomial.pdf`\n  - `Lecture 12-PoissonDist.pdf`\n  - `Lecture 13-GeometricUniformDist.pdf`\n  - `Lecture 14-NegativeBinomial.pdf`\n  - `Lecture 17-GuassianParameters.pdf`\n  - `Lecture 18-Guassian-StandardNormal.pdf`\n  - `Lecture 19-Guassian-InverseProblem.pdf`\n\n- **Advanced Topics**:\n  - `Lecture 16-BayesLaw - Part 1.pdf`\n  - `Lecture 16-BayesLaw -Part 2.pdf`\n  - `Lecture 20-Chebyshev.pdf`\n\n- **Statistical Inference**:\n  - `Lecture 21-Inference.pdf`\n  - `Lecture 22-ConfidenceInterval-Part 1.pdf`\n  - `Lecture 23-ConfidenceInterval-Part 2.pdf`\n  - `Lecture 24-ConfidenceInterval-Part 3.pdf`\n\n- **Hypothesis Testing**:\n  - `Lecture 25-HypothesisTesting-MeanTesting.pdf`\n  - `Lecture 26-HypothesisTesting-DifferenceBetweenMean.pdf`\n\n### 3. **Lab Work**\n- Python and MATLAB lab exercises to support theoretical knowledge:\n  - `Lab Python`\n  - `Lecture 4-Lab1-Matlab.pdf`\n  - `Lecture 7-Tutorial-2-Matlab.pdf`\n\n### 4. **Project**\n- A project folder containing practical applications of probability and statistics.\n\n### 5. **Miscellaneous**\n- **Books**: Additional resources and references.\n- **`.gitignore`**: To manage untracked files.\n- **`LICENSE`**: License for this repository.\n\n---\n\n## 📚 Key Features\n\n- **Complete Lecture Coverage**: A comprehensive collection of lectures from basic concepts to advanced topics in Probability and Statistics.\n- **Hands-on Learning**: Includes assignments and lab work for practical understanding.\n- **Scanned Solutions**: Provides scanned solutions for a visual reference.\n- **Project Integration**: Real-world application of theoretical concepts through projects.\n\n---\n\n## 💻 Getting Started\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/shoaib1522/probability-and-statistics.git\n   ```\n2. Explore the folders and start learning!\n\n---\n\n## 📜 License\nThis repository is licensed under the MIT License. Feel free to use, modify, and share.\n\n---\n\n## 🤝 Contributing\nContributions are welcome! Feel free to fork this repository and create pull requests.\n\n---\n\n## 📞 Contact\nIf you have any questions or suggestions, feel free to reach out via GitHub or email.\n\n---\n\n**Happy Learning! 🎓**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshoaib1522%2Fprobability-statistics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshoaib1522%2Fprobability-statistics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshoaib1522%2Fprobability-statistics/lists"}