MindTap Business Statistics for Ragsdale's Spreadsheet Modeling & Decision Analysis, 8th Edition, [Instant Access], 2 terms (12 months)
8th Edition
ISBN: 9781337274876
Author: Cliff Ragsdale
Publisher: Cengage Learning US
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Suppose the waiting time at a certain checkout counter is bi-modal. With probability 0.85, the waiting time follows an exponential distribution with a mean waiting time of four minutes. With probability 0.15, the waiting time equals 20 minutes.
a) Compute the mean and median waiting time at the checkout counter.
b) Compute the variance of the waiting time at the checkout counter.
c) Compute the probability that an individual customer waits longer than 5 minutes at the checkout counter.
Two methods are used to predict how many customers will call in for help in the next four days. The first method predicts the
numbers of callers to be 49, 42, 46, and 50 for the four respective days. The second method predicts 48, 43, 47, and 49 for the
four respective days. The actual numbers of callers turn out to be 50, 40, 45, and 48. Which method has the smaller mean
absolute error (MAE)?
O Both methods have the same MAE
The second method.
The first method
O Cannot be determined
1. A single cashier handles customers that arrive at a bakery. About 34.8 customers come into the bakery per hour. It takes 73 seconds to serve each customer (standard time). 2. What is the utilization of the cashier?What is the probability there are no customers in line or at the cashier? 3. What is the probability there are less than 2 customers waiting?
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- Provide instead: 3 Positive and 3 negative outcomes for forecasting 3 Positive and 3 negative outcomes for queuing modelarrow_forwardPlease do not give solution in image formate thanku. The manager of the Safeway store (close to Santa Clara University) is considering improving the customer service level by reducing customers’ average waiting time for checkout. Based on the past year’s data, he knows that customers try to check out every 2 minutes, on average, and the standard deviation of the interarrival time is also 2 minutes. It takes on average 3 minutes to finish the checkout process. The standard deviation of the processing times is 3 minutes. The manager’s goal is to make sure the customers’ average waiting time is less than 0.5 minute. How many checkout cashiers should the manager use?arrow_forward. An automobile dealer is planning a new custom service center to repair the microcomputer-based engine controls in new-model cars. With the new diag- nostic equipment they are installing, each job should take about 75 minutes to complete. The dealer plans to operate the center 8 hours per day. Preliminary estimates suggest that about 5 customers will bring their cars for repair each day. To analyze this situation, make the following assumptions: The customer arrivals form a Poisson process. Each job requires on average 75 minutes. We can ignore the time that the service center is closed. (That is, no arrivals occur during such gaps, and we don't count them in the total response time.) (a) Measure time in hours. In the terms of queueing theory, what are A, μ, and p? (b) Compute an estimate of the average total response time (which we call Ts). 2 (c) Estimate the average number of cars in the center (including those waiting as well as in service). (d) Suppose the average number of…arrow_forward
- Y3arrow_forwardThe common measures of a queuing system's performance include: O probability that the service facility will be idle, average queue length, and probability that the waiting time will exceed a specified duration. average time each customer spends in the system, probability that the service system will be idle, and average time each customer spends in the queue. average queue length, maximum time a customer may spend in the queue, and the utilization factor for the system. average time each customer spends in the system, maximum queue length, and probability of a specific number of customers in the system. maximum queue length, maximum time a customer may spend in the queue, and average queue length.arrow_forwardThe owner of an automobile repair shop studied the waiting times for customers who arrive at the shop for an oil change. The following data with waiting times in minutes were collected over a one-month period. 2 5 22 6 5 0-4 5-9 10-14 (a) Develop a frequency distribution using classes of 0-4, 5-9, 10-14, 15-19, and 20-24. Class 15-19 20-24 Total 5 6 7 15 21 0-4 5-9 10-14 15-19 20-24 Class Total 0-4 5-9 10-14 Class 15-19 0-4 20-24 5-9 (b) Develop a relative frequency distribution using the classes in part (a). If required, round your answers to two decimal places. Relative Frequency 11 4 9 6 Class 16 10-14 15-19 12 21 8 20-24 9 10 Frequency 2 % 10 3 2 3 20 .1 .50 (c) Develop a cumulative frequency distribution using the classes in part (a) .15 .1 .15 1 M ✔ ✔ ✔ S (d) Develop a cumulative relative frequency distribution using the classes in part (a). If required, round your answers to two decimal places. 10 ✔ ✓ ✔ ✔ ✔ Cumulative Frequency Cumulative Relative Frequency X X (e) What…arrow_forward
- Granos, Inc. purchased new automated coffee vending machines, the Preso 2000. This Preso 2000 requires a constant 45 seconds to produce a coffee. It has been estimated that customers will arrive at the vending machine according to a Poisson distribution at an average of one every 50 seconds. To help determine the amount of space needed for the line in front of the vending machine, Granos, Inc. would like to know the expected average time in the system, the average line length (in costumers), and the average number of costumers in the system (both in line and at the vending machine).arrow_forwardIn an M/MA queueing system, the arrival rate is 3 customers per hour and the service rate is 5 customers per hour. If the service process is automated (resulting in no variation in service times but the same service rate), what will be the resulting performance measurements? (Round your answers to 3 decimal places.) d. What is the expected number of customers in the queue (Lq)? Number of customers (queue) e. What is the expected waiting time (in hours) in the queue (Na)? Waiting time (queue)arrow_forwardThe average time between the arrivals of the taxis arriving at the airport to pick up passengers has an exponential distribution, with an average of 10 minutes. a) What is the probability that a passenger will wait for the taxi less than 15 minutes? b) What is the probability that a passenger will wait for the taxi between 20 and 30 minutes? Solve using the cumulative distribution function H1arrow_forward
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