Please answer asap and type your answer and do not copy from anywhere please There are important policy implications with regard to whether a test should be set to identify all people with a disease or condition; or set to identify all people without the disease or condition. The perfect test would of course do both. A 100% percent sensitive test would identify all persons with the disease; while a 100% specific disease would identify all without the disease or condition. Most tests are not 100% sensitive or specific, and therefore result in false positive and false negatives. Using a specific example of a disease or condition, state whether you believe the test for that disease or condition should be 100% sensitive or specific, and the implications for false negatives and false positives for that disease. Need one or two paragraphs answer
Please answer asap and type your answer and do not copy from anywhere please There are important policy implications with regard to whether a test should be set to identify all people with a disease or condition; or set to identify all people without the disease or condition. The perfect test would of course do both. A 100% percent sensitive test would identify all persons with the disease; while a 100% specific disease would identify all without the disease or condition. Most tests are not 100% sensitive or specific, and therefore result in false positive and false negatives. Using a specific example of a disease or condition, state whether you believe the test for that disease or condition should be 100% sensitive or specific, and the implications for false negatives and false positives for that disease. Need one or two paragraphs answer
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Please answer asap and type your answer and do not copy from anywhere please
There are important policy implications with regard to whether a test should be set to identify all people with a disease or condition; or set to identify all people without the disease or condition. The perfect test would of course do both.
A 100% percent sensitive test would identify all persons with the disease; while a 100% specific disease would identify all without the disease or condition. Most tests are not 100% sensitive or specific, and therefore result in false positive and false negatives.
Using a specific example of a disease or condition, state whether you believe the test for that disease or condition should be 100% sensitive or specific, and the implications for false negatives and false positives for that disease.
Need one or two paragraphs answer
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