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/folder...
[Access the Jupyter Notebooks]
https://drive.google.com/drive/folder...
🛠 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