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Hypothesis Testing: Problem Statements and Solutions

Welcome to the Hypothesis Testing repository! 🎉 This repository contains solutions to four distinct problem statements, showcasing the application of various statistical techniques in hypothesis testing using Python.

📂 Repository Structure The repository is organized as follows:

Copy code

├── Datasets.zip

├── Problem1.ipynb

├── Problem2.ipynb

├── Problem3.ipynb

├── Problem4.ipynb

├── README.md

Each Python file focuses on solving a unique problem statement using hypothesis testing methods.

🛠️ Tools and Libraries The solutions use Python and the following libraries:

  • numpy
  • scipy
  • pandas
  • matplotlib (for visualization)

📊 Insights Each solution includes:

  • Hypothesis formulation (null and alternative hypotheses).
  • Python implementation of the hypothesis test.
  • Interpretation of the results.