Answer:
Explanation:
Hello!
Tourists that visit Thailand are exposed to being bitten by a stray dog.
People that get bitten by a stray dog are at risk of getting rabies.
1) So you can determine two possible events that may happen:
A: The tourist got bitten by a stray dog.
B: The tourist got rabies.
2)
a.
"13 out of 1000 tourists get bit by a dog"
P(A)= 0.013
b.
"The percentage of tourists who have been bitten by a dog that get rabies is 15%" i.e. Given that the tourist was bitten by a dog, he got rabies. This is a conditional probability, is the probability of "B" given that "A" has already happened:
P(B|A)= 0.15
c.
"Ninety-nine percent of tourists who do not get bit by a dog will not get rabies."
The event "The tourist did not get bitten by a dog" is complementary to "A", so I'll symbolize it as:
The event "The tourist did not get rabies" is complementary to the event "B", so I'll symbolize it as
3) See attachment for table
P(A)= 0.013 ⇒ P(
)= 1 - 0.013= 0.987
P(A∩B)= P(B|A)*P(A)= 0.15*0.013= 0.00195 = 0.002
P(A∩
)= P(A) - P(A∩B)= 0.013-0.00195= 0.01105 = 0.011
P(
∩
)= P(
) *
= 0.987*0.99= 0.977
P(
)= P(A∩
) + P(
∩
)= 0.011 + 0.977= 0.988
P(B∩
)= P(
) - P(
∩
)= 0.987 - 0.977= 0.01
5) P(B)= P(A∩B) + P(B∩
)= 0.002 + 0.01= 0.012
4) Attch
6)
P(A|
)= P(A∩
) = 0.011 = 0.0111
P(
) 0.988
I hope this helps!