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3. An HIV test is not entirely accurate. The test developer claims the test produces less than 5% false positives and less than 1% false negatives. In order to investigate the developer's claim, the test was administered to1000 individuals known to have HIV and 10,000 individuals known not to have HIV. The results are below. Truly has HIV Truly does not Test Result have HIV Positive 993 591 Negative 7 9409

3. An HIV test is not entirely accurate. The test developer claims the test produces less than 5% false positives and less than 1% false negatives. In order to investigate the developer's claim, the test was administered to1000 individuals known to have HIV and 10,000 individuals known not to have HIV. The results are below. Truly has HIV Truly does not Test Result have HIV Positive 993 591 Negative 7 9409

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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(a) Construct a 95% confidence interval for the proportion of false positives 
produced by the test. 

3. An HIV test is not entirely accurate. The test developer claims the test produces less than 5% false positives and less than 1% false negatives. In order to investigate the developer's claim, the test was administered to1000 individuals known to have HIV and 10,000 individuals known not to have HIV. The results are below. Truly has HIV Truly does not Test Result have HIV Positive 993 591 Negative 7 9409
Transcribed Image Text:3. An HIV test is not entirely accurate. The test developer claims the test produces less than 5% false positives and less than 1% false negatives. In order to investigate the developer's claim, the test was administered to1000 individuals known to have HIV and 10,000 individuals known not to have HIV. The results are below. Truly has HIV Truly does not Test Result have HIV Positive 993 591 Negative 7 9409
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