Why Not to Trust Statistics

[This article was first published on Statistics and Substance use, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Wonderfully simple depiction of why you should take a lot of statistics with a pinch of salt. You need to look deeper and explore the underlying distribution.

Math with Bad Drawings

20160712085402_0001120160712085402_00012

View original post


To leave a comment for the author, please follow the link and comment on their blog: Statistics and Substance use.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)