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! | .049 |
| Today! | .047 |
| here! | .033 |
| available | .012 |
| fingertips! | .012 |
Also suppose that the proportions of ham messages that have these words are
| Shipping! | .0016 |
| Today! | .0020 |
| here! | .0020 |
| Available! | .0039 |
| Fingertips! | .0009 |
Round your answers to three decimal places
a. If a message includes the word shipping!, what is the probability the message is spam?
If a message includes the word shipping!, what is the probability the message is ham?
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?
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?
The five most common words appearing in spam emails are shipping!, today!, here!, available, and fingertips!....
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.
The five most common words appearing in spam emails are shipping!, today!, here!, available,...
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! today! here! available fingertips! 0.049 0.044 0.034 0.013 0.013 Also suppose that the...