How To Calculate The P-value | Full Course On Statistics for Data Science with Python.

Welcome to Chapter 6 lesson 3 of the full course on ‘Statistics for Data Science’, using Python! In this lesson, we learn how to use Python Code to calculate the p-value. We will do it manually as an extra exercise to understand what the P-value really means. 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: - What is the p-value? - How to calculate the P-value? - When is the P-value wrong? - How to use Python built in functions to compute the P-value? 📺 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