P-Values, Null Hypothesis, and Alternative Hypothesis in 3 Minutes

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P-values are one of the most critical tools in statistics, and yet are so elusive to understand. Let's break it down in 3 minutes.

This video has been inspired by 3Blue1Brown, and special thanks to Grant Sanderson and the ManimCE community.

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Music used:
Falling by Jonny Easton

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Get a free 3 month license for all JetBrains developer tools (including PyCharm Professional) using code 3min_datascience:

[Tauschenn]

I'm a newbie in statistics and your videos help me a lot to understand these concepts. Thank you!

[-minutedatascience]

To support more videos like this, please check out my O'Reilly books.

Essential Math for Data Science

Getting Started with SQL

Access all my books, online trainings, and video courses on O'Reilly with a 10-day free trial!

[fedelercari]

Incredibly concise and well explained!!

[priyenshah]

Firstly, thank you so much for making these videos. I am right now reading your book and learning from it and these videos are absolutely helpful to make the process easier. I have a question with regards to two-tailed tests. In the book, during two-tailed tests when we attempt to calculate the p-value, you've mentioned "Since 16 is 4 days below the mean, we will also capture the area above 20, which is 4 days above the mean." I am confused at this part, how do you arrive at the 4 day mark? Technically 16 is 2 days lower than our actual 18 mean. Is it as per the graph value point? Many thanks once again!

[desktus]

Thanks for all your effort. Your content is high quality and I appreciate the extra effort to copy the 3Blue1Brown presentation style which is very helpful for this field. - an aspiring Data Scientist . PS. What do you think of R compated to Python. My professors are really divided on that one. Personally I believe its a lot better to spezialize in Python

[destineddoom]

I really love your videos ...and appreciate that you post the source code..love and respect ❤❤

[farshaddehqani]

Hmm not sure about this video. Got confused a bit