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Only 1 in 1000 adults is afflicted with a rare disease for which a diagnostic te

ID: 3256333 • Letter: O

Question

Only 1 in 1000 adults is afflicted with a rare disease for which a diagnostic test has been developed. The test is such that when an individual actually has the disease, a positive result will occur 99% of the time, whereas an individual without the disease will show a positive lest result only 2% of the time. If a randomly selected individual is tested and the result is positive, what is the probability that the individual has the disease? b. An individual has 3 different email accounts. Most of her messages, in fact 70%, come into account #1, whereas 20% come into account #2 and the remaining 10% into account #3. Of the messages into account #1, only 1% are spam, whereas the corresponding percentages for accounts #2 and #3 are 2% and 5%, respectively. What is the probability that a randomly selected message is spam?

Explanation / Answer

5a:

we use Bayes' theorem:

P[disease]=0.001

p[+|disease]=0.99

p[+|not disease]=0.02

p[disease|+] = p[+|disease]*p[disease]/ p[+]

=p[+|disease]*p[disease]/ {p[+|disease]*p[disease] + p[+|not disease]*p[not disease]}

=0.99*0.001/{0.99*0.001+0.02*(1-0.001)}

=0.047

5b.

Need to compute P[Spam]:

{again we will use Bayes theorem

P[Spam]=P[Spam|account1]*P[account1]+P[Spam|account2]*P[account2]+P[Spam|account3]*P[account3]

=0.01*0.7 + 0.02*0.2 + 0.05*0.1

=0.016

=1.6%