O.1t is estimated that 809% of emails are spam ermails. Some software has becen applied to filter these spam enails 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?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Q. 1 t is estimated that 809% 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?
event A: email is spam;
event B: email is detected as spam.
Assume that
Transcribed Image Text:Q. 1 t is estimated that 809% 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? event A: email is spam; event B: email is detected as spam. Assume that
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