29. In a neighborhood, 90% children were falling sick due flu and 10% due to measles and no other disease. The probability of observing rashes for measles is 0.95 and for flu is 0.08. If a child develops rashes, find the child's probability of having flu. OA. 0.45 OB. 0.43 C. 0.92 O D. 0.167
29. In a neighborhood, 90% children were falling sick due flu and 10% due to measles and no other disease. The probability of observing rashes for measles is 0.95 and for flu is 0.08. If a child develops rashes, find the child's probability of having flu. OA. 0.45 OB. 0.43 C. 0.92 O D. 0.167
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![29. In a neighborhood, 90% children were falling sick due flu and 10% due
to measles and no other disease. The probability of observing rashes for
measles is 0.95 and for flu is 0.08. If a child develops rashes, find the child's
probability of having flu.
O A. 0.45
OB. 0.43
OC. 0.92
OD. 0.167
30. It is observed that 50% of mails are spam. There is a software that
filters spam mail before reaching the inbox. It accuracy for detecting a
spam mail is 99% and chances of tagging a non-spam mail as spam mail is
5%. If a certain mail is tagged as spam find the probability that it is not a
spam mail.
O A. 0.025
OB. 0.520
OC. 0.048
O D. 0.010
D4](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb6cd9fa6-876e-43fe-8db6-8cc1a6a01a95%2Feb12501b-8ff1-4f78-9171-c2e2fb83622c%2Fpmfv03g_processed.jpeg&w=3840&q=75)
Transcribed Image Text:29. In a neighborhood, 90% children were falling sick due flu and 10% due
to measles and no other disease. The probability of observing rashes for
measles is 0.95 and for flu is 0.08. If a child develops rashes, find the child's
probability of having flu.
O A. 0.45
OB. 0.43
OC. 0.92
OD. 0.167
30. It is observed that 50% of mails are spam. There is a software that
filters spam mail before reaching the inbox. It accuracy for detecting a
spam mail is 99% and chances of tagging a non-spam mail as spam mail is
5%. If a certain mail is tagged as spam find the probability that it is not a
spam mail.
O A. 0.025
OB. 0.520
OC. 0.048
O D. 0.010
D4
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