Shopper enter Parck place mall at an average of 120 per hour. What is the probability that at least 25 shoppers will enter the mall between 5 o’clock and 5:10 PM? A. 0 B. 0.157 C. 0.112 D. 0.5 Using poisson.dist Define event x = Mean = Interval = / Define the new event X New Mean = New interval F(x) Use the poisson formula on spreadsheet

Shopper enter Parck place mall at an average of 120 per hour. What is the probability that at least 25 shoppers will enter the mall between 5 o’clock and 5:10 PM? A. 0 B. 0.157 C. 0.112 D. 0.5 Using poisson.dist Define event x = Mean = Interval = / Define the new event X New Mean = New interval F(x) Use the poisson formula on spreadsheet

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter12: Queueing Models

Section12.5: Analytic Steady-state Queueing Models

Problem 13P

See similar textbooks

Similar questions

At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 = average; 4 = bad. The weekly revenue earned by a machine in state 1, 2, 3, or 4 is 100, 90, 50, or 10, respectively. After observing the condition of the machine at the beginning of the week, the company has the option, for a cost of 200, of instantaneously replacing the machine with an excellent machine. The quality of the machine deteriorates over time, as shown in the file P10 41.xlsx. Four maintenance policies are under consideration: Policy 1: Never replace a machine. Policy 2: Immediately replace a bad machine. Policy 3: Immediately replace a bad or average machine. Policy 4: Immediately replace a bad, average, or good machine. Simulate each of these policies for 50 weeks (using at least 250 iterations each) to determine the policy that maximizes expected weekly profit. Assume that the machine at the beginning of week 1 is excellent.
3. Attendance at Los Angeles' newest Disney like attraction, Vacation World has been as follows: Quarter Guests Quarter Guests (in Thousands) (in Thousands) 2017 Q1 73 Q3 124 Q2 104 Q4 52 Q3 168 2019 Q1 89 Q4 74 Q2 146 2018 Q1 65 Q3 205 Q2 82 Q4 98 a. Graph the data. (Use Excel) b. Compute seasonal indices using all the data. (Solve manually)
YEAR 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 ARRIVAL ('000) 35.5 28 30.3 36 49.5 56 72.4 71 79.3 96 DELAYED RATE 4.2 3.8 3.8 3.5 4.6 4.5 4.6 4.6 4.7 4.5 A marketing analyst for Rockstar Travel Company. He wants to analyze the trend of international tourist arrival in KL by using international tourist arrival rate and flight delayed rate over the past 10 years. Propose ONE (1) forecasting model that can be used by Alvin. Why would you proposed that particular model? Develop the forecasting model that you suggest in (i). Briefly explain your model.
FC.51 Madison Memorial Hopsital is considering purchasing a new ambulance. The decision will rest partly on the anticipated mileage to be driven this year (2023). The miles driven during the past eight years are as follows: Year Miles Driven 2015 2016 2017 2018 2019 2020 2021 2022 3,240 1,211 3,208 3,253 2,169 2,224 1,162 1,074 Using a 4-year moving average, what would be the forecast for the miles to be driven in 2023? (Display your answer to the nearest whole number.) Number Using a 4-year weighted moving average (with last year's weight as 0.5, two years previous as 0.2; three years previous as 0.2, and four years previous as 0.1) what is the forecast for 2023? (Display your answer to the nearest whole number.) Number
Attendance at Orlando's newest Disneylike attraction, Lego World, has been as follows: Compute seasonal indices using all of the data .
Provide instead: 3 Positive and 3 negative outcomes for forecasting 3 Positive and 3 negative outcomes for queuing model
George's 4.27 Attendance at Orlando's newest Disneylike attrac- .. tion, Lego World, has been as follows: GUESTS GUESTS (IN THOUSANDS) (IN THOUSANDS) QUARTER QUARTER Winter Year 1 73 Summer Year 2 124 Spring Year 1 104 Fall Year 2 52 Summer Year 1 168 Winter Year 3 89 Fall Year 1 74 Spring Year 3 146 Winter Year 2 65 Summer Year 3 205 Spring Year 2 82 Fall Year 3 T98 Compute seasonal indices using all of the data. PX doma
can you help me with A.
Attendance at Orlando's newest Disneylike attraction, Lego World, has been as follows: Guests Guests Quarter Quarter (in thousands) (in thousands) Summer Year 2 Winter Year 1 Spring Year 1 Summer Year 1 58 120 104 Fall Year 2 54 149 75 Winter Year 3 99 Spring Year 3 Summer Year 3 Fall Year 3 Fall Year 1 151 Winter Year 2 65 210 Spring Year 2 84 98 Based on the given attendance, the seasonal indices for each of the seasons are (round your responses to three decimal places): Season Index Winter Spring Summer Fall
Scenario 3: Falsifying Attendance Jason, a Junior System Administrator with the Management Information Systems Department, clocked in 4 minutes and 27 seconds late for work this morning. While he won’t get fired for it, being late this once means that he will not receive the perfect attendance incentive which he needs to make ends meet, given his daughter’s recent series of hospitalizations. It’s not that Jason didn’t make an effort to be there on time. He actually arrived in the office five minutes early but was unable to clock in immediately because his direct superior, Raffy, asked him for an informal project progress report as soon as he walked in the door. As a Junior System Administrator, Jason has access and the capability to edit the company’s attendance records. He figures that since he was unable to punch in only because of his boss, it wouldn’t hurt to edit the timestamp on his attendance for today. What is the Business Ethics Principles that suit to this case study?…
Please do not give solution in image format thanku The following time series shows the number of units of a particular product sold over the past six months. Compute the MSE for the 4-month moving average. Month Units Sold 1 8 2 3 3 4 4 5 5 12 6 10 7
Tucson Machinery, Inc., manufactures numerically controlled machines (NCM), which sell for an average price of $12 million each. Sales for these NCMs for the past two years were as follows: Quantity (units) Quantity (units) Quarter Last year ||| III IV 12 18 20 24 Quarter This year | || ||| IV 20 24 28 32 Find the equation of a simple linear regression line using Excel, in the format of Y=a+bX. Keep two decimals of a and b. Forecast the first quarter sales for next year. Keep two decimals.