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dsp73
3 years ago
8

How do we interpret Type I and Type II errors?

Advanced Placement (AP)
1 answer:
Anarel [89]3 years ago
6 0

Answer:

In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion; example: "an innocent person is convicted"), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion ...

Hope it helps!!!

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