On average, 24 out of every 100 emails exchanged are spam emails. Filters on email services attempt to flag spam emails as they are received. One such filter has a 84% chance of flagging an email if it is actually spam, and a 25% chance of flagging an email that is not spam. a. What is the probability that an incoming email is not a spam and flagged? b. What is the probability that the next incoming email will be flagged? c. All emails that are not flagged are sent to the user’s inbox. If an email reaches a user’s inbox, what is the probability that it is not a spam email
On average, 24 out of every 100 emails exchanged are spam emails. Filters on email services attempt to flag spam emails as they are received. One such filter has a 84% chance of flagging an email if it is actually spam, and a 25% chance of flagging an email that is not spam. a. What is the probability that an incoming email is not a spam and flagged? b. What is the probability that the next incoming email will be flagged? c. All emails that are not flagged are sent to the user’s inbox. If an email reaches a user’s inbox, what is the probability that it is not a spam email
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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On average, 24 out of every 100 emails exchanged are spam emails. Filters on email services attempt to flag spam emails as they are received. One such filter has a 84% chance of flagging an email if it is actually spam, and a 25% chance of flagging an email that is not spam.
a. What is the probability that an incoming email is not a spam and flagged?
b. What is the probability that the next incoming email will be flagged?
c. All emails that are not flagged are sent to the user’s inbox. If an email reaches a user’s inbox, what is the probability that it is not a spam email?
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