Respuesta :
Answer:
D) 0.8660
Step-by-step explanation:
Infection occurs in 3% of operations.
Repair fails in 14% of operations.
Both failure and infection occurs together in 1%
P(infection) = 0.03
P(repair fails) = 0.14
P(infection and repair fails) = 0.01
From general addition rule
P(A or B) = P(A) + P(B) - P(A and B)
P(infection or repair fail) = P(infection) + P(repair fails) - P(infection and repair fails)
= 0.03 + 0.14 - 0.01
= 0.17 - 0.01
= 0.16
Using complement rule
P(A') = 1 - P(A)
P(no infection and repair successful) = 1 - P(infection or repair fail)
= 1 - 0.16
= 0.84
P(no infection) = 1 - P(infection)
= 1 - 0.03
= 0.97
Using conditional probability
P(B|A) = P(A and B) / P(A)
P(repair successful | no infection) = P(no infection and repair successful) / P(no infection)
= 0.84/0.97
= 0.8660(D)
In this exercise we have to use the knowledge of probability and thus calculate the success of each given operation, in this way we will find that:
Letter D
From the probability values informed in the text we found that:
- Infection occurs in 3% of operations.
- Repair fails in 14% of operations.
- Both failure and infection occurs together in 1%
Using the probability formula for one of the cases previously reported, we have:
- [tex]P(infection) = 0.03[/tex]
- [tex]P(repair fails) = 0.14[/tex]
- [tex]P(infection\ and \ repair \ fails) = 0.01[/tex]
From general addition rule:
[tex]P(A or B) = P(A) + P(B) - P(A and B)[/tex]
Substituting the equations already known and read previously, and we find that:
[tex]P(infection \ or \ repair \ fail) = P(infection) + P(repair fails) - P(infection \ and \ repair \ fails)[/tex]
Putting the known values in the formula above, we have:
[tex]= 0.03 + 0.14 - 0.01\\= 0.17 - 0.01\\= 0.16[/tex]
Using complement rule:
[tex]P(A') = 1 - P(A)[/tex]
Substituting the equations already known and read previously, and we find that:
[tex]P(no\ infection\ and\ repair\ successful) = 1 - P( \ infection\ or \ repair\ fail)\\= 1 - 0.16\\= 0.84\\P(no infection) = 1 - P(infection)\\= 1 - 0.03\\= 0.97[/tex]
Using conditional probability:
[tex]P(B|A) = P(A and B) / P(A)[/tex]
Putting the known values in the formula above, we have:
[tex]P(repair\ successful | no\ infection) = P(no\ infection\ and \ repair\ successful) / P(no \ infection)\\= 0.84/0.97\\= 0.8660[/tex]
See more about probability at brainly.com/question/795909