File Details
Alpha And Beta | |
File name | Alpha And Beta |
File Description | In statistics, a type I error (or error of the first kind) is the incorrect rejection of a true null hypothesis. A type II error (or error of the second kind) is the failure to reject a false null hypothesis.[1] A type I error is a false positive. Usually a type I error leads one to conclude that a thing or relationship exists when really it doesn't, for example, that a patient has a disease being tested for when really the patient does not have the disease, or that a medical treatment cures a disease when really it doesn't. A type II error is a false negative. |
Category Name | Public Health |
Subject Name | Special Epidemiology |
Module Name | Sampling, Tests Of Significance and Alpha and Beta |
Micro Category Name | Beta error |
Level | Masters |
File Type | Video |
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