he five most common words appearing in spam emails are shipping!, today!, here!, available, and fingertips!. Many spam filters eparate spam from ham (email not considered to be spam) through application of Bayes' theorem. Suppose that for one email ccount, 1 in every 10 messages is spam and the proportions of spam messages that have the five most common words in spam mail are given below. chipping! oday! mere! available ingertips! 0.049 0.044 0.035 0.012 0.012 Iso suppose that the proportions of ham messages that have these words are chipping! 0.0013 oday! 0.0023 ere! 0.0023 vailable 0.0039 ingertips! 0.0010 ound your answers to three decimal places.

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Chapter1: Starting With Matlab
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The five most common words appearing in spam emails are shipping!, today!, here!, available, and fingertips!. Many spam filters
separate spam from ham (email not considered to be spam) through application of Bayes' theorem. Suppose that for one email
account, 1 in every 10 messages is spam and the proportions of spam messages that have the five most common words in spam
email are given below.
shipping!
0.049
today!
0.044
here!
0.035
available
0.012
fingertips!
0.012
Also suppose that the proportions of ham messages that have these words are
shipping!
0.0013
today!
0.0023
here!
0.0023
available
0.0039
fingertips!
0.0010
Round your answers to three decimal places.
Transcribed Image Text:The five most common words appearing in spam emails are shipping!, today!, here!, available, and fingertips!. Many spam filters separate spam from ham (email not considered to be spam) through application of Bayes' theorem. Suppose that for one email account, 1 in every 10 messages is spam and the proportions of spam messages that have the five most common words in spam email are given below. shipping! 0.049 today! 0.044 here! 0.035 available 0.012 fingertips! 0.012 Also suppose that the proportions of ham messages that have these words are shipping! 0.0013 today! 0.0023 here! 0.0023 available 0.0039 fingertips! 0.0010 Round your answers to three decimal places.
a. If a message includes the word shipping!, what is the probability the message is spam?
.80
If a message includes the word shipping!, what is the probability the message is ham?
.19
Should messages that include the word shipping! be flagged as spam?
Yes
b. If a message includes the word today!, what is the probability the message is spam?
If a message includes the word here!, what is the probability the message is spam?
Which of these two words is a stronger indicator that a message is spam?
- Select your answer
Why?
Because the probability is - Select your answer -
c. If a message includes the word available, what is the probability the message is spam?
If a message includes the word fingertips!, what is the probability the message is spam?
Which of these two words is a stronger indicator that a message is spam?
- Select your answer
Why?
Because the probability is - Select your answer -
d. What insights do the results of parts (b) and (c) yield about what enables a spam filter that uses Bayes' theorem to work
effectively?
Explain.
It is easier to distinguish spam from ham when a word occurs
- Select your answer - v in spam and less often in ham.
Transcribed Image Text:a. If a message includes the word shipping!, what is the probability the message is spam? .80 If a message includes the word shipping!, what is the probability the message is ham? .19 Should messages that include the word shipping! be flagged as spam? Yes b. If a message includes the word today!, what is the probability the message is spam? If a message includes the word here!, what is the probability the message is spam? Which of these two words is a stronger indicator that a message is spam? - Select your answer Why? Because the probability is - Select your answer - c. If a message includes the word available, what is the probability the message is spam? If a message includes the word fingertips!, what is the probability the message is spam? Which of these two words is a stronger indicator that a message is spam? - Select your answer Why? Because the probability is - Select your answer - d. What insights do the results of parts (b) and (c) yield about what enables a spam filter that uses Bayes' theorem to work effectively? Explain. It is easier to distinguish spam from ham when a word occurs - Select your answer - v in spam and less often in ham.
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