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(5) If a drug test is said to 95% accurate, then out of 100 users tested, 95 of them would correctly test positive and 5
(5) If a drug test is said to 95% accurate, then out of 100 users tested, 95 of them would correctly test positive and 5 would incorrectly test negative. It also means that if 100 non-users are tested, then S of them will incorrectly test positive and 95 will correctly test negative. Suppose that in a group of 1000 subjects, precisely 1% of them use the drug being tested for. Compute: a) The number of subjects who use the drug. b) The probability that someone who tests positive for the drug is, indeed, a user c) The probability that someone who tests negative for the drug is indeed a non-user. d) The probability that someone who tests positive for the drug is actuallya non-user. e) The probability that someone who tests negative for the drug is actually; user. i) The number of subjects who will be wrongly accused of being drug users. g) The number of users who will not be caught. h) The number of users who will be caught
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