Type I or Type II error?

Posted on February 28, 2017 by F. E. Guerra-Pujol

Was this situation a false positive or a false negative?

Image result for oscar mixup

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About F. E. Guerra-Pujol

When I’m not blogging, I am a business law professor at the University of Central Florida.
This entry was posted in Bayesian Reasoning, Questions Rarely Asked. Bookmark the permalink.

2 Responses to Type I or Type II error?

  1. Craig says:
    February 28, 2017 at 01:46

    A false positive is a situation where a proposition is presented as truth but later revealed to be a falsehood. A false negative is a situation where a proposition is said to be false but later shown to be true. Given this, I think it’s clear what the Oscar mixup error is…. inconsequential.

    Reply

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