Answer:
The probability that the bus is filled in less than 3 hours from the time of the fare reduction is 0.9975.
Step-by-step explanation:
We are given that the time between calls for tickets is exponentially distributed with a mean of 30 minutes. Assume that each caller orders one ticket.
Let X = the time between calls for tickets
The probability distribution for the exponential distribution is given by;
[tex]f(x) = \lambda e^{-\lambda x}[/tex] , where x > 0.
Here, [tex]\lambda[/tex] = exponential parameter.
As we are given in the question that the mean of the exponential distribution is 30 minutes, i.e;
Mean of an exponential distribution = [tex]\frac{1}{\lambda}[/tex]
[tex]30 = \frac{1}{\lambda}[/tex]
[tex]\lambda=\frac{1}{30}[/tex]
For calculating the required probability, we have to use the cumulative distribution function of an exponential distribution which is given by;
[tex]F(x) = P(X \leq x) = 1-e^{-\lambda x}[/tex] ; where x > 0
Now, the probability that the bus is filled in less than 3 hours from the time of the fare reduction is given by = P(X < 180 minutes)
P(X < 180 min) = [tex]1 - e^{-\frac{1}{30} \times 180 }[/tex]
= [tex]1 - e^{-6 }[/tex]
= 0.9975