Respuesta :
Answer: P(F|C) = 0.75
P(C∩F) = 0.09
P(C∩F) = P(F∩C)
Step-by-step explanation:
Let event F be choosing a person who is a fan of professional football and let event C be choosing a person who is a fan of car racing.
By the given information we have:
P(F)=48%=0.48
P(C)=12%=0.12
[tex]P(F\cap C)=P(C\cap F)=9\%=0.09[/tex]
Now, [tex]P(F|C)=\dfrac{P(F\cap C)}{P(C)}=\dfrac{0.09}{0.12}=0.75[/tex]
[tex]P(C|F)=\dfrac{P(C\cap F)}{P(F)}=\dfrac{0.09}{0.48}=0.1875[/tex]
Based on the given probabilities, the following are true:
- P(F|C) = 0.75
- P(C∩F) = 0.09
- P(C∩F) = P(F∩C)
Assume that F is for the probability that a person is a fan of football and C is for fans of car racing.
Calculating the probabilities
P(F|C) = P(F∩C) / P (C)
= 0.09 / 0.12
= 0.75
P(F∩C) is the same as P(C∩F). P(C∩F) is therefore 0.09 or 9%.
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