For its three investment centers, Ayayai Company accumulates the following data:Sales$1,600,000Controllable margin1,040,000Average operating assets 4,000,00011$3,200,0001,472,0006,400,000Compute the return on investment (ROI) for each center.The return on investment25 %|||$3,200,0002.720,0008,000,000HI20|||

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Answered: For its three investment centers,…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has incand from £212,000 first year of operation to $1,079,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars. Quarter 1 2 Year 1 20 102 174 Year 2 28 129 254 37 Year 3 B1 165 329 AY Year 4 102 203 383 77 Year 159 284 448 179
Assume a company reported the following results: Sales Variable expenses Contribution margin Fixed expenses Net operating income $ 400,000 260,000 140,000 40,000 100,000 Average operating assets $ 500,000 If the company's minimum required rate of return on average operating assets is 16%, its residual income would be: Multiple Choice О $20,000. $21,000. $22,000. $23,000.
The company has data on demand and factory capacity for the next 4 months as in the table. Unit cost with regular time $ 24, overtime cost $ 28, on subcontract $ 34. Storage costs $ 2 per unit per month; backorders cost $ 5 per unit per month. Initial inventory is as many as 120 units, and it is expected that by the end of July there will be an inventory of 100 units. April May June July Demand 460 450 480 480 Regular Capacity 370 370 380 380 Overtime Capacity 60 60 60 60 Subcontract Capacity 30 30 30 30 Use the transportation method to optimize the aggregate plan. Determine the production cost each month and the total cost for 4 months
6. Present the following data by a suitable diagram showing. The sales and net profits of a private company. Year Sales Net Profits 1998-1999 14% 49% 1999-2000 10% -25% 2000-2001 13% -1% es ehsinar wer lo
Pop (1000's) Exports in billion $ 22,757 81.2 43,586 30.8 47,904 172.6 40,038 120.5 8,875 95.5 7,283 91.3 66,494 26.9 2,407 46 59,648 282 278,059 776 23,917 32.8 1,029,991 43.1 228,437 64.7 66,129 25 23,332 21.8 3,840 73.5 57,680 241.1 126,771 450 2,041 23.2 5,240 13.9 443 7.6 101,879 168 15,981 210.3 3,864 14.6 126,635 22.2 4,503 59.2 38,634 28.4 10,066 26.1 769 9.8 145,470 105.1
Two competing companies produce mobile phones. Company A starts production at 1000 phones per week and plans to increase output by 200 each week. Company B starts production with 500 phones per week and plans to increase output by 20% each week. (a) Calculate the weekly production in weeks 1; 5; 10; 15. Plot the graph of weekly output for each producer on the same diagram (use Excel, if available). Estimate the week in which the output is the same for both firms. (b) Calculate the total production during the first 15 weeks for each firm.
QUESTION 1 Table Q1 shows the revenue of XYZ Company from radio advertisement in 2021. a) Produce the best fit equation relationship between revenue vs advertisement. b) Plot data on a graph paper and draw a best linear fit revenue vs advertisement. c) Determine the linearity uncertainty/error eL(x) and eL(x)max. d) Determine percentage of maximum linearity uncertainty/error %eL(x)max.
The following table gives the U.S. national debt for selected years from 1900 to 2013. U.S. Debt ($ billions) 3233 5225 Year 1900 1910 1920 1930 1940 1945 1955 1965 1975 1965 U.S. Debt ($ billions) 1 1 24 16 43 259 273 314 533 1823 Year 1990 1996 2000 2005 2009 2010 2011 2012 2013 5674 7933 11,957 13,529 15,476 16,067 16,856 (a) Using a function of the form ya b^x, with x=0 in 1900 and y equal to the national debt in billions, model the data. (Round your coefficients to four decimal places.) y= (b) Use the model to predict the debt in 2023. (Round your answer to the nearest billion.) $ billion (c) Predict the year in which the debt will be $71 trillion ($71,000 billion).
In 1993 the average expenditure of the employees on food and other items was as follows : In Cuttack In Bhubaneswar (i) Food 60% (ii) Other items 40% 50% 50% In 1998, the cost of living index was 279 for Cuttack and 265 for Bhubaneswar with 1993 as the base. The rise in price of all the items used by the employeees was known to be the same for both the towns. Determine the 1998 index for (i) food and (ii) other items.
An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…
Given the Information in the below table's, calculate the total cost if you choose the: i) Level Strategy with average production per day. ii) Chase strategy for the production. Month Expected Demand Production Days Jan 600 22 Feb 800 18 March 900 21 April 1000 21 Inventory carrying cost $5 per unit per month Subcontracting cost per unit $20 per unit Average Pay rate $10 per hour ($80 per day) Over time Pay rate $17 per hour (above 8 hours) Labour-hours to produce a unit 1.6 hours per unit Cost of increasing daily production rate $300 per unit Cost of decreasing daily production rate $600 per unit

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