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What are Type 1 and Type 2 errors?

Sophia Davis | 2023-06-17 08:57:19 | page views：1874
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Julian Hall

Works at the International Finance Corporation, Lives in Washington, D.C., USA.
Type I and type II errors. ... In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding), while a type II error is retaining a false null hypothesis (also known as a "false negative" finding).
2023-06-23 08:57:19
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Harper Hall

QuesHub.com delivers expert answers and knowledge to you.
Type I and type II errors. ... In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding), while a type II error is retaining a false null hypothesis (also known as a "false negative" finding).
Type I and type II errors - Wikipedia
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