In: Statistics and Probability
t : time between arrival
: Average number of arrivals
t follows a exponential distribution
Probability density function: pdf
And Cumulative distribution function CDF
Given,
Customers arrive at the drive-up window of a fast-food restaurant at a rate of 2 per minute
i.e = 2
a. probability that the next customer will arrive within 1 minute = p(T<1) = F(1)
probability that the next customer will arrive within 1 minute = 0.8647
b. probability that the next customer will arrive after 0.5 minutes = p(T>-.5) = 1-P(T<0.5) = 1-F(0.5)
p(T>-.5) = 1-P(T<0.5) = 1-F(0.5) = 1-0.6321=0.3679
probability that the next customer will arrive after 0.5 minutes = 0.3679
c. probability that the next customer will arrive between 45 seconds and 1.5 minutes
45 seconds = 45/60=0.75 minutes
probability that the next customer will arrive between 45 seconds and 1.5 minutes = P(0.75 < T <1.5)
P(0.75 < T <1.5) = P(T<1.5) - P(T<0.75) = F(1.5) - F(0.75)
P(0.75 < T <1.5) = P(T<1.5) - P(T<0.75) = F(1.5) - F(0.75) = 0.9502 - 0.7769 = 0.1733
probability that the next customer will arrive between 45 seconds and 1.5 minutes = 0.1733