P.W. Is a 40-year old disabled man who recently lost his wife to metastatic breast cancer. His brother has taken him into his home. P.W. has a 22-year history of insulin-dependent diabetes mellitus (Type-1). Until recently, he has taken responsibility for the management of his disease and has been actively involved in the local chapter of the American Diabetic Association. PMH includes 2 amputated toes on his R foot, retinopathy and visual impairment in both eyes, and angina on exertion from coronary artery disease that severely restricts his activity. Since he began treatment with an Ace-inhibitor 2 years ago, his blood pressure has gone from 182/128 to 126/78 mm Hg. Currently, he is 71” tall and weighs 135 lb. P.W.’s sister-in-law, who is an LPN says P.W. has lost about 12 lbs in the past 3 weeks. Over the past few years, P.W. has been administering a multidose (3 injections) regimen of regular Humulin insulin to himself before meals and at night. Recently his BG levels have been increasingly inconsistent and labile, and he has been labeled “noncompliant.” It is Monday. You are the home care nurse assigned to visit P.W. 3 times per week for teaching and evaluation. P.W.’s brother and sister-in-law express concern that P.W. seems to be indifferent about his nutritional and pharmacologic regimens. As you start to review the above measures with P.W., you notice he already seems aware of what he should do to control his blood glucose. You are concerned that he seems too distracted and drifts off in the middle of a discussion; his affect also appears flat. You ask P.W if he has been taking all his medications. He says “yes” but adds that he discovers “extra” blood pressure pills left over at the end of each week. He seems to be confused about the reason for the “leftover” pills. You decide to do a glucose stick. He registers 348 mg/dl. P.W.’s provider says she wants to hospitalize him for evaluation and stabilization; this also would give the opportunity for a psychiatric consult. P.W. says he refuses to go to “that hospital where my wife died.” In discussion with P.W. and the physician, it is decided that you will check his progress daily; someone from the home care agency will call q8h for a progress report on his progress daily. P.W.’s sister-in-law agrees to monitor his BG and vital signs and see that he takes all his medications. If P.W.’s condition does not improve or becomes worse, he must enter the hospital for treatment. The provider is concerned that P.E. may be depressed and starts him on Sertraline 50 mg qd to be taken with his bedtime snack. The next day, during your midafternoon visit to P.W.’s home, he tells you he has a headache and is feeling “fidgety” His pulse is 124, his gait is unsteady, speech is slightly slurred, and blood glucose is 48 mg/dl.

P.W.’s sister-in-law informs you that his blood glucose is too high for the machine to read. You tell her to dial 911 immediately; advise her to tell them P.W. is diabetic and his blood glucose is over 400 mg/dl

PLEASE ANSWER THIS QUESTION:

1. Write 3 nursing diagnoses that depict the care priorities for this situation.

2.The physician prescribes an IV drip per infusion pump of regular Humulin insulin 100 units in 100ml NS at 6 U/h for blood glucose >300, hourly glucose check, repeat electrolytes, and serum glucose in 2 hours. What effect should the insulin infusion have on the client’s physical condition and how should the nurse revise the physical assessment plan?

Feather Friends, Inc., distributes a high-quality wooden birdhouse that sells for $40 per unit. Variable expenses are $20.00 per unit, and fixed expenses total $180,000 per year.

Required:

Answer the following independent questions:

1.What is the product's CM ratio?

2. Use the CM ratio to determine the break-even point in dollar sales.

3. Due to an increase in demand, the company estimates that sales will increase by $51,000 during the next year. By how much should net operating income increase (or net loss decrease) assuming that fixed expenses do not change?

4. Assume that the operating results for last year were:

a. Compute the degree of operating leverage at the current level of sales. (Round your answer to 2 decimal places.)

b. The president expects sales to increase by 18% next year. By what percentage should net operating income increase? (Round intermediate calculations and final answer to 2 decimal places.)

5. Refer to the original data. Assume that the company sold 37,500 units last year. The sales manager is convinced that a 12% reduction in the selling price, combined with a $71,000 increase in advertising, would increase annual unit sales by 50%.

a. Prepare two contribution format income statements, one showing the results of last year’s operations and one showing the results of operations if these changes are made. (Do not round intermediate calculations. Round your "Per unit" answers to 2 decimal places.)

b. Would you recommend that the company do as the sales manager suggests?

6. Refer to the original data. Assume again that the company sold 37,500 units last year. The president does not want to change the selling price. Instead, he wants to increase the sales commission by $1.50 per unit. He thinks that this move, combined with some increase in advertising, would double annual unit sales. By how much could advertising be increased with profits remaining unchanged? Do not prepare an income statement; use the incremental analysis approach.

(T/F) 1-8

1. The larger the P-value of a hypothesis test, the stronger the evidence against the null hypothesis.

2. In an ANOVA test comparing several population means, if the alternative hypothesis is true, the F statistic tends to be close to zero.

3. If the two variables in a two-way table are associated, the conditional distributions in the table are similar to each other.

4. In a multiple regression model, if the P-value associated with the F test is less than the significance level, we conclude that all explanatory variables in the model have a significant relationship with the response variable.

5. If multicollinearity is present, the standard errors of regression coefficient estimators tend to be large, i.e., the regression results are less precise.

6. The multiplication of two variables is used as a predictor if the two variables jointly affect the response. Group of answer choices

7. Even if the P-value of the F test in a multiple regression model is nearly zero, it is possible that the R² of the model is much less than one.

8. In selecting independent variables for a regression model, neither the forward selection method nor the backward elimination method guarantee the optimal combination of the independent variables.

9. For a given sample size, as the significance level increases, the probability of committing Type I error ____________ and the probability of committing the Type II error __________.

A. Increases, decreases

B. Increases, increases

C. Decreases, increases

D. Decreases, decreases

Calculate the benefit, based on the forward rate agreements, that an investor can derive if his / her expectations of future interest rate movements are verified:

a. 3% after two months

b. 2.8% after three months

c. 2.5% after one month

d. 1% after five months

e. 2.9% after six months

PAGE 1 Table 11-1 Boat Specifications Spring 2020 Group_Project MET 405 - Economic Analysis for Engineering and Technology Total points: 100 Due Date: April 23, 2020 by 11:59 pm Project Case: Harbor Delivery Service (HDS) is an over the water delivery service operating in several large port/metropolitan areas. Each branch office has from 5 to 15 boats in its fleet. Currently, each branch office purchases its boats locally based on the branch manager’s preferences. This has resulted in each branch having a mix of brands and models and both diesel- and gasoline-powered units in some ports. Maintenance for this mixed fleet is a major headache, and costs seem out of control. To better utilize resources, the company has been repositioning boats to avoid unnecessary purchases and idle resources. This has been far from a resounding success, as the receiving locations are not prepared to maintain the boats if they differ from those it currently has. The branch managers inevitably find major faults with the boats transferred into their site. Additionally, this causes the sites to need both diesel and gasoline refueling facilities, with the inevitable confusion and mistakes. The various types and brands also make it difficult to create a “brand image.” HDS has decided to centralize procurement of boats and to standardize on brands and fuel types. The task of standardizing the fleet has been assigned to a team consisting of the chief operating officer and three branch managers. The team has identified the size and configuration of boat that best meets the general needs of HDS but have been unable to agree on a common power unit. A poll of the branch managers finds that five out of ten branch managers prefer the gasoline option due to its higher speed, while two out of ten are indifferent to the choice of power unit. Marketing has expressed a preference for diesel power units. They claim that the customers perceive diesel units as less flammable and support this preference with data that shows that insurance premiums are $500 more per year for gasoline-powered boats. Marketing cannot show that demand has been impacted by power unit choice. You have been tasked with recommending the appropriate power unit. To support this task, you have constructed the following table (Table 11-1) based on the specifications of the two boats under consideration. Gasoline Diesel Purchase price $76,586 $97,995 Engine size 350 hp 300 hp Average speed (manufacturer’s estimate) Knots (nautical mile per hour) 21.1 17.4 Fuel consumption (gallons per hour) 26 17 Fuel capacity (gallons) 300 300 PAGE 2 The boat manufacturer (the only difference in the two boats is the engine) has supplied an estimate of the average speed of each unit and the fuel consumption based on this average speed. Since the boats are used in harbors and for fairly short runs, the higher speed of the gasoline engine is valued at only $50 per day. When not in use, the gasoline engines will be turned off, while the diesel units would idle and burn fuel at the rate of 1 gal per hour. Both units are seen as adequate to meet the delivery schedules/requirements of HDS. Your investigations into maintenance costs have determined that the diesel unit requires $9000 in annual maintenance (mainly for the cooling system), while the gasoline engine unit has an annual cost of $6000. Oil changes are $25 for the gasoline unit and $57 for the diesel unit. Oil changes occur every 100 hours of engine use. Diesel is estimated to run $2.95 per gallon while gasoline runs $3.15 per gallon. The branch offices are located adjacent to a fueling/service dock ran by another business unit of HDS’s parent company. The boats are docked at the fueling facility overnight and each evening the tanks are topped off before the boats are turned over to the maintenance crew for service and cleaning. Thus, nightly refueling stops cost $15, but if refueling must be done during the day it costs $55. The units will typically cover 200 nautical miles in the course of the day. Crews are changed every six hours. The delivery service operates 18 hours per day 7 days a week. The diesel units, if purchased, will be kept in service for 4 years before being sold for $48,000 each. The gasoline units will be sold after 3 years of service for $38,000. HDS’s minimum attractive rate of return (MARR) is 18%. How many nautical miles per day must be traveled to change your recommendation?

Implement the CPU scheduling algorithm SJF non-preemptive in python. Have the program answer the table.

Simulate and evaluate with the set of eight processes below.

Assumptions:

1. All processes are activated at time 0
2. Assume that no process waits on I/O devices.
3. After completing an I/O event, a process is transferred to the ready queue.
4. Waiting time is accumulated while a process waits in the ready queue.
5. Turnaround time is a total of (Waiting time) + (CPU burst time) + (I/O time)
6. Response time is the first measure of waiting time from arrival at time 0 until the first time on the CPU.

Process Data:

process goes {CPU burst, I/O time, CPU burst, I/O time, CPU burst, I/O time,…….., last CPU burst}

P1 {5, 27, 3, 31, 5, 43, 4, 18, 6, 22, 4, 26, 3, 24, 4}

P2 {4, 48, 5, 44, 7, 42, 12, 37, 9, 76, 4, 41, 9, 31, 7, 43, 8}

P3 {8, 33, 12, 41, 18, 65, 14, 21, 4, 61, 15, 18, 14, 26, 5, 31, 6}

P4 {3, 35, 4, 41, 5, 45, 3, 51, 4, 61, 5, 54, 6, 82, 5, 77, 3}

P5 {16, 24, 17, 21, 5, 36, 16, 26, 7, 31, 13, 28, 11, 21, 6, 13, 3, 11, 4}

P6 {11, 22, 4, 8, 5, 10, 6, 12, 7, 14, 9, 18, 12, 24, 15, 30, 8}

P7 {14, 46, 17, 41, 11, 42, 15, 21, 4, 32, 7, 19, 16, 33, 10}

P8 {4, 14, 5, 33, 6, 51, 14, 73, 16, 87, 6}

Implement the CPU scheduling algorithm FCFS non-preemptive in python. Have the program answer the table.

Simulate and evaluate with the set of eight processes below.

Assumptions:

1. All processes are activated at time 0
2. Assume that no process waits on I/O devices.
3. After completing an I/O event, a process is transferred to the ready queue.
4. Waiting time is accumulated while a process waits in the ready queue.
5. Turnaround time is a total of (Waiting time) + (CPU burst time) + (I/O time)
6. Response time is the first measure of waiting time from arrival at time 0 until the first time on the CPU.

Process Data:

process goes {CPU burst, I/O time, CPU burst, I/O time, CPU burst, I/O time,…….., last CPU burst}

P1 {5, 27, 3, 31, 5, 43, 4, 18, 6, 22, 4, 26, 3, 24, 4}

P2 {4, 48, 5, 44, 7, 42, 12, 37, 9, 76, 4, 41, 9, 31, 7, 43, 8}

P3 {8, 33, 12, 41, 18, 65, 14, 21, 4, 61, 15, 18, 14, 26, 5, 31, 6}

P4 {3, 35, 4, 41, 5, 45, 3, 51, 4, 61, 5, 54, 6, 82, 5, 77, 3}

P5 {16, 24, 17, 21, 5, 36, 16, 26, 7, 31, 13, 28, 11, 21, 6, 13, 3, 11, 4}

P6 {11, 22, 4, 8, 5, 10, 6, 12, 7, 14, 9, 18, 12, 24, 15, 30, 8}

P7 {14, 46, 17, 41, 11, 42, 15, 21, 4, 32, 7, 19, 16, 33, 10}

P8 {4, 14, 5, 33, 6, 51, 14, 73, 16, 87, 6}

Consider the market for a good in which there are two income groups of buyers. There are 8 buyers with income $40 and 6 buyers with income $54. All buyers have the same utility function u = 20q − q2 + m, where q denotes the amount of the good and m the money left after buying the good. Denote the price of the good by p.

(a) For each income group, determine the individual demand of a buyer.

(b) Find the market demand and draw the demand curve.  

(c) Consider an individual buyer in income group $40. For the following prices, determine how much money is left with the buyer after buying the good: (i) p = 8, (ii) p = 13.