Web: https://www.reddit.com/r/datascience/comments/uiuqwp/type_i_and_type_ii_errors_are_the_worst_terms_in/

May 5, 2022, 10:48 a.m. | /u/takenorinvalid

Data Science reddit.com

Just saw some guy rant about DS candidates not know what "Type I and Type Ii Errors" are and I have to admit that I was, like -- wait, which one's which again?

I never use the terms, because I hate them. They are just the perfect example of how Statistics were developed by people with *terrible* communication skills.

The official definition of a Type I error is: "The mistaken rejection of an actually true null hypothesis."

So, you are …

datascience errors ii statistics terms type

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