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"Type I and Type Ii Errors" are the worst terms in statistics
May 5, 2022, 10:48 a.m. | /u/takenorinvalid
Data Science www.reddit.com
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 …
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