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?
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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