Hypothesis testing tutorial using Python in Google Colab
"This series of videos on YouTube follows the chapters of my award winning massive open online course (MOOC) on Coursera called Understanding Clinical Research (or UCR for short). Anyone can view it without having completed UCR, though. If you want to learn how to use the most popular programming language for data science, then this series of videos are for you.
Just an FYI. UCR is an intuitive exploration of healthcare statistics. While I have other technical courses on Coursera, I wanted to add this companion to UCR on YouTube, to teach you how to use Python to do your own statistics and research.
This video follows from the previous one on sampling distributions. I explain hypothesis testing by way of an example, where we look at two-tailed and one-tailed hypotheses.
BTW, leave a comment down below if anything is unclear. There are nearly 100,000 students that have been a part of my Coursera course. We are a big community."
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