Application: Is A Coin Biased? | Full Course On Statistics for Data Science with Python.

Welcome to Chapter7 lesson 1 of the full course on ‘Statistics for Data Science’, using Python! In this lesson we look at a real-life application of statistical testing and the p-value by looking at coin flipping. In particular we will look at how you can be 95% sure whether a coin is biased or not. This lesson includes key concepts, coding examples, and practical applications. 📚 Course Materials: - [Download the Book/Notes and slides] https://drive.google.com/drive/folders/1fax_OSSqNtkdjIzZgMfJalwsKLQOurL5?usp=sharing - [Access the Jupyter Notebooks] https://drive.google.com/drive/folders/1S-0cUdrmmc4ca8w9hSQU8z50Xb4qH32T?usp=sharing 🛠 Topics Covered: - How to test whether a coin is biased or not? - How to simulate coin flipping in Python? - How to compute the p-value in Python? - How to apply a statistical test in real life? 📺 Watch Next: •[Previous Chapter](Previous Video Link) •[Next Chapter](Next Video Link) For a full playlist of the course, visit [Playlist Link]. 📢 Don’t forget to subscribe to get notified for further releases. #Statistics #DataScience #course #Python #Jupyter