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hypothesis testing In statistics, a Type I error is a false positive conclusion, while a Type II error is a false negative conclusion. Making a ... This discussion motivated the type 1 SUPPORT/JOIN THE CHANNEL: https://www.youtube.com/channel/UCZaDAUF7UEcRXIFvGZu3O9Q/join My goal is to reduce ...

Type I and Type II

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