Order Now
writerschalet

What is the most probable cause of ND’s pneumonia? Which diagnostic tests would you expect to be done to diagnose ND’s pneumonia?

ND is a 82-year-old female who lives in a skilled nursing facility. She suffers from rheumatoid arthritis, coronary artery disease, chronic bronchitis, and hypertension. She is wheelchair bound and tends to spend most of her days in bed. She smoked for 52 years but quit 14 years ago. She has lost 10 pounds in the last month and has had a productive cough for about 2 weeks that has copious amounts of white to yellow mucous. Over the last 3 days, she has refused to get out of bed and has been refusing to eat or drink. This morning she is confused, has a fever, and is coughing continuously. Her sputum now is rust-colored. Her lungs sounds are coarse rhonchi throughout with crackles and diminished lung sounds in her right middle lobe area. Her vital signs are BP 86/54, HR 98, RR 28, and temperature 102.4. She is being admitted to the hospital.

Need Help Writing an Essay?

Tell us about your assignment and we will find the best writer for your paper.

Get Help Now

Pneumonia can be classified many different ways. Which classification of pneumonia best fits ND’s situation? Explain. What is the most probable cause of ND’s pneumonia? Which diagnostic tests would you expect to be done to diagnose ND’s pneumonia?

PLACE THIS ORDER OR A SIMILAR ORDER AND GET HELP FROM A REGISTERED NURSE:)

Click the button below to order this paper AND ENJOY OUR DISCOUNT.

The post What is the most probable cause of ND’s pneumonia? Which diagnostic tests would you expect to be done to diagnose ND’s pneumonia? appeared first on Premium Nursing Papers.

I lOVE this Professional essay writing website. This is perhaps the fifth time I am placing an order with them, and they have not failed me not once! My previous essays and research papers were of excellent quality, as always. With this essay writing website, you can order essays, coursework, projects, discussion, article critique, case study, term papers, research papers, research proposal, capstone project, reaction paper, movie review, speech/presentation, book report/review, annotated bibliography, and more.

Post your homework questions and get original answers from qualified tutors!

PLACE YOUR ORDER

Share your love

Related Assignments

SCHOOL OF ACCOUNTING, ECONOMICS AND FINANCE COMM121 Statistics for Business Question 1: Luxury Car Buyers (36 Marks) In order to find who is buying different types of luxury cars Automobile Association conducted a survey of luxury car buyers. In this case study, data is collected for three types of luxury cars; BMW, Lexus and Mercedes. The ages, household incomes and years of education for each type of luxury car were collected in the survey. The data set is organised as follows: Column 1: Type of car, 1 for BMW, 2 for Lexus and 3 for Mercedes. Column 2: Age of the customer Column 3: Household Income in Dollars Column 4: Years of Education Data set is loaded on eLearning site under assignment data. COMM121ASS1 Tasks Some car dealers believe that the type of luxury car the people purchase do not depend on their ages, household incomes or years of education. 1. Using the data collected test the belief that the average income of the buyers of BMW cars is higher than the average income of the buyers of Mercedes Benz cars (9 Marks) 2. Test the belief that the average age of the buyers of BMW cars is higher than the average age of the buyers of Mercedes Benz cars (9 Marks) 3. Test the belief that the average educational level of the buyers of Lexus cars is lower than the average educational level of the buyers of Mercedes Benz cars (9 Marks) 4. Test the belief that the average educational level of the buyers of BMW cars is lower than the average educational level of the buyers of Mercedes Benz cars (9 Marks) SCHOOL OF ACCOUNTING, ECONOMICS AND FINANCE COMM121 Statistics for Business Question 2: Analysis of Sales Data (64 Marks) The Mogan Marketing Research Pty Ltd is a large marketing research firm operating in Sydney and Brisbane. Mr. Bill Mogan who has a commerce degree and working experience in advertising and marketing owns the firm. The day to day operations of the firm, including client briefing and negotiations, are tightly controlled by Mr. Mogan. Dr. Wood who is widely known in the area of marketing research heads the research arm of the firm. Assume you work as a Marketing Analyst under Dr. Wood. Monday morning, when you returned to your office, there was a message from Dr. Wood asking you to see him urgently. You went directly to Dr. Wood’s office. He was waiting for you. How are you? How was the holiday? he asked. I am fine. Thank you Sir. It was fantastic, you replied. He continued: We have a problem, I am busy with Carbon Tax report and I need to spend at least one week in Canberra for Senate meetings. Last week we got one research project. I have completed preliminary work of the new project. This is really urgent and I cannot attend any of the client’s meetings. The job is not that difficult. It is a matter of analysing and writing it up. Would you please go through the clients brief and prepare the report for next Monday? You nodded and said Yes, Sir. Dr. Wood concluded: OK. If you have any questions please discuss with clients directly, good luck. Client Brief for Project. Meddicorp Company sells medical supplies to hospitals, clinics, and doctors’ offices. The company currently markets in three regions of Australia: The East, the West, and Northeast. These regions are each divided into many smaller sales territories. Meddicorps’ management is concerned with the effectiveness of a new bonus program. This program is overseen by regional sales managers and provides bonuses to sales people based on performance. Management wants to know whether the bonuses paid in 2015 were related to sales. (Obviously, if there is a relationship here, the managers would expect it to be a direct one.) In determining whether this SCHOOL OF ACCOUNTING, ECONOMICS AND FINANCE COMM121 Statistics for Business relationship exists, management also wants to take into account the effects of advertising. The variables to be used in the study include: SALES Meddicorp’s sales (in thousands of dollars) in each territory for 2015 ADV the amount Meddicorp spent on advertising in each territory (in hundreds of dollars) in 2015 BONUS the total amount of bonuses paid in each territory (in hundreds of dollars) in 2015 These data for a random sample of 25 Meddicorp’s sales territories are in File COMM121ASS2. There are two Excel outputs are given to you. Your assignment Prepare a business report for Meddicorp company answering following questions. Section A. 1. Consider the problem that must be solved. What do you think is the dependent variable in this problem? Which are the independent variables? (5 Marks) 2. Formulate the population regression model and comment on the expected signs of independent variables. (5 Marks) 3. Write down the regression equation and interpret the coefficients in the model. How did the actual coefficients agree with your expectation of their effect? (6 Marks) 4. Set up the hypotheses and test the significance of the model using 5 percent significance level. Use F test for the testing. (8 Marks) 5. Set up the hypotheses and test the significance of each of coefficients of the model using 5 percent significance level. Can any one of the variables be dropped from this model? (8 Marks) 6. What is the value of coefficient of determination of this model and what does it mean? ( 6 Marks) SCHOOL OF ACCOUNTING, ECONOMICS AND FINANCE COMM121 Statistics for Business 7. Suppose another territory (not included in the sample) had the following values on the predictor variables: advertising expenditure is $ 40,000 and a total bonus paid is $30,000. Find the prediction value for sales. (6 Marks) Section B The management of Meddicorp feels that, in addition to advertising and bonuses, two other explanatory variables may be important in explaining the variation in sales. These variables are MKTSHR, or market share percentage currently held by Meddicorp in each territory COMPET, or the largest competitor’s sales in thousands of dollars in each territory. 1. Formulate the population model with new variables. . (4 Marks) 2. Comments on the expected signs of the coefficients for new variables. (4 Marks) 3. Comment on the suitability of the model compared to previous model. Note you should carry out tasks as specified in section A, 3 to 6 for the new model. (12 Marks) SCHOOL OF ACCOUNTING, ECONOMICS AND FINANCE COMM121 Statistics for Business SUMMARY OUTPUT Regression Statistics Multiple R 0.9246 R Square 0.8549 Adjusted R Square 0.8418 Standard Error 90.7485 Observations 25 ANOVA df SS MS F Regression 2 1067797.16 533898.58 64.83 Residual 22 181176.50 8235.30 Total 24 1248973.66 Coefficients Standard Error t Stat P-value Intercept -516.444 189.876 -2.720 0.013 adv 2.473 0.275 8.983 0.000 bonus 1.856 0.716 2.593 0.017 SUMMARY OUTPUT Regression Statistics Multiple R 0.927 R Square 0.859 Adjusted R Square 0.831 Standard Error 93.770 Observations 25 ANOVA df SS MS F Regression 4 1073118.385 268279.596 30.511 Residual 20 175855.272 8792.764 Total 24 1248973.657 Coefficients Standard Error t Stat P-value Intercept -593.538 259.196 -2.290 0.033 adv 2.513 0.314 7.997 0.000 bonus 1.906 0.742 2.567 0.018 mktshr 2.651 4.636 0.572 0.574 compet -0.121 0.372 -0.325 0.749