Bob has recently been hired by a shop downtown to help customers with various computer-related problems. Lately, two different viruses have been bugging many customers: Dummy and Smarty. It is estimated that about 65% of the customers with virus problems are bothered by Dummy and the remaining 35% by Smarty. If the computer is infected by Dummy, Bob has a 90% chance of fixing the problem. However, if the computer is infected by Smarty, this chance is only 70%. If a virus-infected computer is randomly selected from the shop, and we know it was fixed by Bob, what is the probability that it was infected with Dummy

70.48% probability that it was infected with Dummy

Step-by-step explanation:

Bayes Theorem:

Two events, A and B.

In which P(B|A) is the probability of B happening when A has happened and P(A|B) is the probability of A happening when B has happened.

In this question:

Event A: Fixed by Bob

Event B: Infected with Dummy

65% of the customers with virus problems are bothered by Dummy

This means that

If the computer is infected by Dummy, Bob has a 90% chance of fixing the problem.

This means that

Probability of Bob Fixing

90% of 65%(fixing a Dummy-infected virus)

70% of 35%(fixing a Smarty-infected virus).

So

What is the probability that it was infected with Dummy

70.48% probability that it was infected with Dummy

50*10 is greater

step-by-step explanation:

if you add the zero from 10 to 50, it will give you a bigger number.

the reporter's right

step-by-step explanation:

1/4 = .25 / 25%