Let X denote the servie time (in minutes).
Using Central Limit theorem, we know,
Now,
Since this probability is quite low, so we can say that it is unlikely to service 100 customers in less than 3 hours of total time.
13. (Bonus, 10 points) The service times for customers coming through a checkout counter in a...
Service time for a customer coming through a checkout counter in a retail store is a random variable with the mean of 4.0 minutes and standard deviation of 1.5 minutes. Suppose that the distribution of service time is fairly close to a normal distribution. Suppose there are two counters in a store, n1=41 customers in the first line and n2=51 customers in the second line. a.Compute the mean and the variance of X1 bar−?2 bar. b.Find the probability that the...
Service time for a customer coming through a checkout counter in a retail store is a random variable with the mean of 2.0 minutes and standard deviation of 4.0 minutes. Suppose that the distribution of service time is fairly close to a normal distribution. Suppose there are two counters in a store, n = 31 customers in the first line and n2 = 42 customers in the second line. Find the probability that the difference between the mean service time...
QUESTION 7 A store manager wishes to compare the service times of the express checkout with the service times of the self-serve checkout. Suppose that independent random samples of 144 customers at express and 100 at self-serve checkouts were selected, and the service times for each customer was recorded. The mean and standard deviation of the sample of customers using the express checkout were 3.7 and 0.9 minutes, respectively. For the self-serve customers, the mean and standard deviation were 4.2...
Pete's Market is a small local grocery store with only one checkout counter. Assume that shoppers arrive at the checkout lane according to a Poisson probability distribution, with an arrival rate of 16 customers per hour. The checkout service times follow an exponential probability distribution, with a service rate of 20 customers per hour. The manager’s service goal is to limit the waiting time prior to beginning the checkout process to no more than five minutes. Also the manager of...
Pete's Market is a small local grocery store with only one checkout counter. Assume that shoppers arrive at the checkout lane according to a Poisson probability distribution, with an arrival rate of 9 customers per hour. The checkout service times follow an exponential probability distribution, with a service rate of 15 customers per hour. The manager’s service goal is to limit the waiting time prior to beginning the checkout process to no more than five minutes. Also the manager of...
Question 2 Customers arrive at the checkout counter (shown in the figure below) at random from 1 to 8 minutes apart. Each possible value of inter-arrival time has the same probability of occurrence, as shown in Table 2.6. The service times vary from 1 to 6 minutes with the probabilities shown in Table 2.7. Departure Arrival Checkout Counter Table 26 Distribution of TIme Between Amivals Time baweerm Arrivals Table 27 Service-Time Distribution Minutesy) Prohablity Service Tme 0.125 0.125 0.125 125...
The time to process orders at the service counter of a pharmacy store are exponentially distributed with mean 5 minutes. Suppose that 100 customers visit the counter in a day. Use CLT to estimate the following. (1) What is the probability that the total service time of the 100 customers does not exceed 10 hours? (2) What is the probability that at least half of the 100 customers need to wait more than 3.47 minutes? (Note: to simply the calculations,...
Fifteen items or less: The number of customers in line at a supermarket express checkout counter is a random variable with the following probability distribution. 1 0.15 2 0.30 3 0.20 4 0.10 5 0.05 P(x) 0.20 Send data to Excel Part 1 of 7 (a) Find P(5). P(5) = 0 Part 2 of 7 (b) Find P(No less than 4). P(No less than 4) = Part 3 of 7 (c) Find the probability that no one is in line....
Two mechanics are changing oil filters for the arriving customers. The service time has an Exponential distribution with mean 12 minutes for the first mechanic, and mean 3 minutes for the second mechanic. When you arrive to have your oil filter changed, your probability of being served by the faster mechanic is 0.8. Use simulation to generate 10000 service times and estimate the mean service time for you. Using R code
I specifically need help with part c and d Problem #1 (10 points) Customers arrive to a fast food restaurant with two servers with interarrival times that follow an exponential distribution with a mean of 5 minutes. Service times (per server) also follow an exponential distribution with a mean of 8 minutes. There is enough space in the restaurant to accommodate a very large number of customers waiting to be served. (a) (3 points) What is the probability that at...