Respuesta :
Answer:
P(she needs to wait for 3 more hours | She has already waited for 7 hours) = e⁻¹
P(she needs to wait for x more hours | She has already waited for 7 hours)
= e^(-x/3)
Step-by-step explanation:
P(she needs to wait for 3 more hours | She has already waited for 7 hours)
= P(she needs to wait for 3 more hours, She has already waited for 7 hours) / P(She has already waited for 7 hours)
= P(she needs to wait for 10 hours) / P(She has already waited for 7 hours)
= (1/3)exp(-10/3)/ (1/3)exp(-7/3) = exp(-1) = e⁻¹
P(she needs to wait for x more hours | She has already waited for 7 hours)
= P(she needs to wait for x more hours, She has already waited for 7 hours) / P(She has already waited for 7 hours)
= P(she needs to wait for 7+x hours) / P(She has already waited for 7 hours)
= (1/3)exp(-(7+x)/3)/ (1/3)exp(-7/3) = exp(-x/3) = e^(-x/3)
Answer:
a) P(T>10 | T>7) = 0.3678
b) P(T>7+x | T>7) = [tex]e^{\frac{-x}{3} }[/tex]
Step-by-step explanation:
a)Conditional Probability that she needs to wait at least 3 more hours, given that she has already waited 7 hours
[tex]T = e^{1/3}[/tex]
Three more hours means x = 7+3 = 10
P(T>10 | T>7) = P ( (T>10) ∩ (T>7)) / P (T>7)
P ( (T>10) ∩ (T>7)) = P (T>10)
P (T>10) = 1 - P (T≤10)
P (T≤10) = [tex]1 - e^{\frac{-1}{3} *10}[/tex]
P (T≤10) = 0.9643
P (T>10) = 1 - P (T≤10) = 1 - 0.9643
P (T>10) = 0.03567
P (T>7) = 1 - P (T≤7)
P (T≤7) = [tex]1 - e^{\frac{-1}{3} *7}[/tex]
P (T≤7) = 0.903
P (T>7) = 1 - P (T≤7) = 1 - 0.903
P (T>7) = 0.097
P(T>10 | T>7) = 0.03567/0.097
P(T>10 | T>7) = 0.3678
b) The conditional probability that she needs to wait at least x more hours, given that she has already waited 7 hours
P(T>7+x | T>7) = P ( (T>7+x) ∩ (T>7)) / P (T>7)
P ( (T>7+x) ∩ (T>7)) = P (T>7+x)
P (T>7+x) = 1 - P (T≤7+x)
P (T≤7+x) = [tex]1 - e^{\frac{-1}{3} *(7+x)}[/tex]
P (T>7+x) = 1 - P (T≤(7+x)) = 1 - [tex](1 - e^{\frac{-1}{3} *(7+x)})[/tex]
P (T>7+x) = [tex]e^{\frac{-1}{3} *(7+x)}[/tex]
P (T>7+x) = [tex]e^{\frac{-7}{3} } * e^{\frac{-x}{3} }[/tex]
P (T>7+x) = [tex]0.097e^{\frac{-x}{3} }[/tex]
P (T>7) = 0.097
P(T>7+x | T>7) = [tex]\frac{0.097e^{\frac{-x}{3} }}{0.097}[/tex]
P(T>7+x | T>7) = [tex]e^{\frac{-x}{3} }[/tex]