Type I or Type II error?

Was this situation a false positive or a false negative?

Image result for oscar mixup

Getty Images

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:

    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.

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