Answer:
Probability that it will take more than 10 minutes for the next student to arrive at the library parking lot is 0.082085.
Step-by-step explanation:
We are given that the distribution of arrival time can be modeled using an exponential distribution with rate 1/4 arrivals per minute.
Let X = Amount of time until the next student will arrive in the library parking lot at the university.
The probability distribution for exponential distribution is given by;
[tex]f(x) = \lambda e^{-\lambda x} ; x >0[/tex]
where, [tex]\lambda[/tex] = parameter of this distribution or the arrival rate = [tex]\frac{1}{4}[/tex] = 0.25
So, X ~ Exp([tex]\lambda = 0.25[/tex])
Now, to find the less than or greater than probabilities in exponential distribution we use the Cumulative distribution function of exponential function, i.e.;
[tex]F(x) = P(X \leq x) = 1 - e^{-\lambda x} ; x >0[/tex]
So, probability that it will take more than 10 minutes for the next student to arrive at the library parking lot is given by = P(X > 10 minutes)
P(X > 10) = 1 - P(X [tex]\leq[/tex] 10)
= 1 - [ [tex]1 - e^{-0.25 \times 10}[/tex] ]
= [tex]e^{-2.5}[/tex] = 0.082085
Therefore, probability that it will take more than 10 minutes for the next student to arrive is 0.082085.