Welcome to the Hypothesis Testing repository! π This repository contains solutions to four distinct problem statements, showcasing the application of various statistical techniques in hypothesis testing using Python.
π Repository Structure The repository is organized as follows:
Copy code
βββ Datasets.zip
βββ Problem1.ipynb
βββ Problem2.ipynb
βββ Problem3.ipynb
βββ Problem4.ipynb
βββ README.md
Each Python file focuses on solving a unique problem statement using hypothesis testing methods.
π οΈ Tools and Libraries The solutions use Python and the following libraries:
- numpy
- scipy
- pandas
- matplotlib (for visualization)
π Insights Each solution includes:
- Hypothesis formulation (null and alternative hypotheses).
- Python implementation of the hypothesis test.
- Interpretation of the results.