Statistics Notebooks

Overview

This repository contains my collection of jupyter notebook based statistics assignments.

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Problem Context

In academic settings, statistics are often simplified:

• Straight answers
• Minimal inputs

In real-world environments, statistics must consider:

• Outliers / Extremes
• Observability and debugging
• Contextual Analysis

This project doesn't explore those ideas completely but is explained through focused, minimal examples.

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What This Project Explores

• Usage of math/scientific python libraries
• Data visualization
• How errors are handled should be recorded
• Measures of Central Tendency

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Structure

/
├── .ipynb_checkpoints/
│   ├── Assignment1-checkpoint.ipynb
├── MATH/
│   ├── NBA_Stats.csv
└── README.md
├── Assignment1.ipynb
├── main.py