How to calculate p-values

In this StatQuest we learn how to calculate p-values using both discrete data (like coin tosses) and continuous data (like height measurements). At the end, we explain the differences between 1 and 2-sided p-values and why you should avoid 1-sided p-values if possible.

NOTE: This StatQuest assumes that you are already familiar with what p-values are and how to interpret them. If not, check out the quest:
p-values: What they are and how to interpret them.

For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/

If you'd like to support StatQuest, please consider...

Support StatQuest by buying The StatQuest Illustrated Guide to Machine Learning!!!
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC

Patreon:   / statquest  
...or...
YouTube Membership:    / @statquest  

...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statques...

...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/

...or just donating to StatQuest!
https://www.paypal.me/statquest

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
  / joshuastarmer  

0:00 Awesome song and introduction
0:58 p-value for getting two heads
6:39 p-value defined as the sum of three parts
9:30 p-value for getting four heads and 1 tails
12:31 p-values for continuous data, like how tall people are
14:31 A borderline p-value
16:59 A significant p-value
17:47 An insignificant p-value
20:12 One-sided vs two-sided p-values
24:20 Summary of concepts

#statquest #pvalue