It is estimated that 60% of emails are spam emails. Some software has been applied to filter these spam emails before they reach your inbox. A software claims that it can detect 95% of spam emails, and the probability for a false positive (a non-spam email detected as spam) is 4%. Now if an email is detected as spam, then what is the probability that it is in fact a non-snam email?

It is estimated that 60% of emails are spam emails. Some software has been applied to filter these spam emails before they reach your inbox. A software claims that it can detect 95% of spam emails, and the probability for a false positive (a non-spam email detected as spam) is 4%. Now if an email is detected as spam, then what is the probability that it is in fact a non-snam email?

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Description: It is estimated that 60% of emails are spam emails. Some software hasbeen applied to filter these spam emails before they reach your inbox.A software claims that it can detect 95% of spam emails, and theprobability for a false positive (a non-spam e

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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