Quantile-Quantile Plots (QQ plots), Clearly Explained!!!
Quantile-Quantile (QQ) plots are used to determine if data can be approximated by a statistical distribution. For example, you might collect some data and wonder if it is normally distributed. A QQ plot will help you answer that question. You can also use QQ plots to compare to different datasets that you collected to determine if their distributions are comparable. This video shows you how to do both things.
NOTE: The data in this video are measures of gene expression. If "gene expression" doesn't mean anything to you, just imagine that the data represents how tall a bunch of people are, or how much they weigh. Then consider the y-axis to be the height or weight of the people, and the x-axis just represents all of the data you collected on a single day. In this case, all of the data were collected on the same day, so they form a single column.
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...
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
Corrections:
4:35 The Uniform Distribution has one extra quantile
5:30 I should have said that Quartiles divide the data into 4 parts.
#statquest #quantile #qqplot
