Q. 1 It is estimated that 70% of emails are spam emails. Some software has been applied to filter these spam emails before they reach our inbox. A certain brand of software claims that it can detect 99% of spam emails, and the probability for a false positive (a non-spam email detected as spam) is 5%. Now if an email is detected as spam, then what is the probability that it is in fact a non-spam email?

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Q. 1 It is estimated that 70% of emails are spam emails. Some
software has been applied to filter these spam emails before they
reach our inbox. A certain brand of software claims that it can
detect 99% of spam emails, and the probability for a false positive
(a non-spam email detected as spam) is 5%. Now if an email is
detected as spam, then what is the probability that it is in fact a
non-spam email?
Transcribed Image Text:Q. 1 It is estimated that 70% of emails are spam emails. Some software has been applied to filter these spam emails before they reach our inbox. A certain brand of software claims that it can detect 99% of spam emails, and the probability for a false positive (a non-spam email detected as spam) is 5%. Now if an email is detected as spam, then what is the probability that it is in fact a non-spam email?
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