TODAY'S Electronics specializes in manufacturing modern electronic components. It also builds the equipment that produces the components. Phyllis Weinberger who is responsible for advising the president of Today's Electronics on electronic manufacturing equipment, has developed the following table concerning a proposed facility. Type of Facility Profit (in thousands of dollars) Strong Market Fair Market Poor Market No facility Small facility Medium-sized facility Large facility 200 100 -32 300 129 110 -100 550 -310 What is the decision based on each of the MINIMAX criteria. Show work in making the decision for each criterion?

TODAY'S Electronics specializes in manufacturing modern electronic components. It also builds the equipment that produces the components. Phyllis Weinberger who is responsible for advising the president of Today's Electronics on electronic manufacturing equipment, has developed the following table concerning a proposed facility. Type of Facility Profit (in thousands of dollars) Strong Market Fair Market Poor Market No facility Small facility Medium-sized facility Large facility 200 100 -32 300 129 110 -100 550 -310 What is the decision based on each of the MINIMAX criteria. Show work in making the decision for each criterion?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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please substitute the value of a b c d in question
B. A manufacturing company is analyzing its accident record. The accidents fall into two categories: ➤Minor-dealt with by first aider: Average cost k50 Major-hospital required. Average cost k1,000 The company has 1,000 employees, of which 180 are office staff and the rest work in the factory. The analysis shows that 10% of employees have an accident each year and 20% of accidents are major. It is assumed that an employee has more than one accident in a year. (i) Determine the expected total cost of accidents in a year. On further analysis it is discovered that a member of office staff has half the probability of having an accident relative those in the factory. (ii) Show that the probability that a given a member of office staff has an accident in a year is 0.0549. (iii) Determine the probability that a randomly chosen employee who has had an accident is office staff.
Ralph Lauren Corporation (RL) designs, markets, and distributes a variety of apparel, home décor, accessory, and fragrance products. The company’s products include such brands as Ralph Lauren, Polo by Ralph Lauren, and Chaps. For two recent years, the company reported the following (in millions): Year 2 Year 1 Sales $7,230 $7,451 Accounts receivable (end of year) 517 655 The accounts receivable at the beginning of Year 1 was $588 million. a. Compute the accounts receivable turnover for Year 1 and Year 2. Round to one decimal place. Year 1 Year 2 Accounts Receivable Turnover fill in the blank 1 fill in the blank 2 b. Compute the number of days’ sales in receivables for Year 1 and Year 2. Use 365 days and round all calculations to one decimal place. Year 1 Year 2 Number of Days’ Sales in Receivables fill in the blank 3 days fill in the blank 4 days
Wall Street financiers 3,800 4,100 2,200 5,300 artists 1,300 1,700 2,300 2,100 Consider a research design in which four Wall Street financiers and four artists are measured on calorie intake. Their occupation is what sort of variable, standing in as the independent variable? (This is a very short answer).
2. You manage a company that purchases movie theaters. You have a spending goal of $4, 300 million for the purchase of new theaters to seat a total of 4,980 guests. You are given the following data: ABC theaters seat a total of 330 guests and cost $250 million each, CineMovie theaters seat 270- guests and cost $200 million each, and Movies 'n' Stuff theaters seat 240 guests and cost $250 million each. Your company wants you to buy half as many ABC theaters as the combined total of CineMovie and Movies 'n' Stuff theaters. You are tasked with determining how many of each theater your company should purchase. (a) Define variables and determine the constraints associated with this problem. Use them to set up a system of linear equations that models this scenario. (b) After applying Gauss-Jordan reduction, you arrive at the following augmented matrix: T10 0 6 Io 104 0 018 How many of each theater should your company purchase?
B. A manufacturing company is analyzing its accident record. The accidents fall into two categories: ➤Minor-dealt with by first aider: Average cost k50 ➤ Major-hospital required. Average cost k1,000 The company has 1,000 employees, of which 180 are office staff and the rest work in the factory. The analysis shows that 10% of employees have an accident each year and 20% of accidents are major. It is assumed that an employee has more than one accident in a year. (i) Determine the expected total cost of accidents in a year. On further analysis it is discovered that a member of office staff | half the probability of having an accident relative those in the factory. (ii) Show that the probability that a given a member of office staff has an accident in a year is 0.0549. (iii) Determine the probability that a randomly chosen employee who has had an accident is office staff.
A manufacturing company makes two types of water skis, a trick ski and a slalom ski. The relevant manufacturing data are given in the table. Labor-Hours per Ski Maximum Labor-Hours Available per Day Department Fabricating Finishing Answer parts (A), (B), and (C) below. Trick Ski 6 1 Slalom Ski 4 1 (A) If the profit on a trick ski is $30 and the profit on a slalom ski is $40, how many of each type of ski should be manufactured each day to realize a maximum profit? What is the maximum profit? The maximum profit is $ The maximum occurs when trick skis and 216 42 slalom skis are produced.
B. A manufacturing company is analyzing its accident record. The accidents fall into two categories: ➤Minor-dealt with by first aider: Average cost k50 Major-hospital required. Average cost k1,000 The company has 1,000 employees, of which 180 are office staff and the rest work in the factory. The analysis shows that 10% of employees have an accident each year and 20% of accidents are major. It is assumed that an employee has more than one accident in a year. (i) Determine the expected total cost of accidents in a year. On further analysis it is discovered that a member of office staff has half the probability of having an accident relative those in the factory. (ii) Show that the probability that a given a member of office staff has an accident in a year is 0.0549. (iii) Determine the probability that a randomly chosen employee who has had an accident is office staff.
5
Razor LLC has a data warehouse that is used by several analytics groups. The data warehouse consists of a number of distinct components, including a cloud server (99.999% availability), a database management system server (99.4%), an analytics logic server (94.7%), and, of course, the network infrastructure to the cloud server, which has an availability of 99.9%. What is the overall availability of the system, expressed as a percentage with three digits of precision? For example, enter 91.223, but do not enter a percent symbol, i.e., do not enter 91.223%
B. A manufacturing company is analyzing its accident record. The accidents fall into two categories: ➤Minor-dealt with by first aider: Average cost k50 ➤ Major-hospital required. Average cost k1,000 The company has 1,000 employees, of which 180 are office staff and the rest work in the factory. The analysis shows that 10% of employees have an accident each year and 20% of accidents are major. It is assumed that an employee has more than one accident in a year. (i) Determine the expected total cost of accidents in a year. On further analysis it is discovered that a member of office staff | half the probability of having an accident relative those in the factory. (ii) Show that the probability that a given a member of office staff has an accident in a year is 0.0549. (iii) Determine the probability that a randomly chosen employee who has had an accident is office staff.
Three businesswomen are trying to convene in Cincinnati for a business meeting. The first women (Woman 1) is arriving on a flight from Atlanta, the second (Woman 2) is arriving on a flight from Dallas, and the third (Woman 3) is arriving on a flight from Chicago. Historical data suggests that the Atlanta flight is “on time” 90% of the time, the Dallas flight is “on time” 95% of the time, and the Chicago flight is “on time” 80% of the time. Furthermore, historical data suggests that the three flights are independent with respect to on time behavior. Define the sample space for this random experiment. Compute the probability for each of the outcomes in the sample space. Let W denote the number of business women that arrive on time. Construct the probability mass function of W Construct the cumulative distribution function of W Find the expected value of W Compute the standard deviation of W