49 years severe COPD, who is on 4 liters nasal cannula home oxygen with pulse oximetry and who has OSA on BiPAP at night. Patient’s medical history is CAD (coronary artery disease), DM2, HTN, HLD, history of tobacco use. Last night, her oxygen saturation dropped to the mid 60’s and has used her nebulizer with albuterol and albuterol MDI about 30 times in the past 24 hours. She has a productive cough, shortness of breath, use of accessory muscles and is wheezing, the sputum is thick white. The patient then decided to come to the emergency room. Once the patient was in the ED, she became obtunded and the following laboratory results were obtained:
Ht: 6 feet 1 inch
WBC: 10.2 7.26/>80/102/37.9/7.9/95% on 70% High flow aerosol mask
RBC 4.51
Hgb 13.8
Hct 42.5%
Platelets: 135
Na: 134
K: 3.9
Total CO2: 38
BUN: 27
Creatinine: 1.0
Glucose: 130
1-Calculate the A-a gradient? Based on the result of the A-a gradient, what does it tell you about your patient?
2-Make specific recommendations for treatment of this patient
In: Nursing
Chhom, Inc., manufactures and sells two products: Product F9 and Product U4. Data concerning the expected production of each product and the expected total direct labor-hours (DLHs) required to produce that output appear below:
| Expected Production | Direct Labor-Hours Per Unit | Total Direct Labor-Hours | |
| Product F9 | 100 | 2.0 | 200 |
| Product U4 | 200 | 1.0 | 200 |
| Total direct labor-hours | 400 | ||
The direct labor rate is $29.70 per DLH. The direct materials cost per unit is $263 for Product F9 and $266 for Product U4.
The company is considering adopting an activity-based costing system with the following activity cost pools, activity measures, and expected activity:
| Estimated | Expected Activity | |||||
| Activity Cost Pools | Activity Measures | Overhead Cost | Product F9 | Product U4 | Total | |
| Labor-related | DLHs | $ | 48,000 | 200 | 200 | 400 |
| Production orders | orders | 76,200 | 200 | 200 | 400 | |
| Order size | MHs | 155,280 | 3,200 | 2,700 | 5,900 | |
| $ | 279,480 | |||||
The overhead applied to each unit of Product U4 under activity-based costing is closest to: (Round your intermediate calculations to 2 decimal places.)
rev: 03_25_2018_QC_CS-119201
In: Accounting
The mean cholesterol levels of women age 45-59 in Ghana, Nigeria, and Seychelles is 5.1 mmol/l and the standard deviation is 1.0 mmol/l (Lawes, Hoorn, Law & Rodgers, 2004). Assume that cholesterol levels are normally distributed.
I'm answering these questions using the "normalcdf" function in my TI-84. I'm not sure how to get the new standard deviation/numbers I'm averaging for 2 and 3.
In: Statistics and Probability
Information
For each of Questions 1 to 5, is the given value of the correlation coefficient reasonable?
Hint: think about the strength and the direction of the relationship between the two variables in each case.
Note: It is subjective to decide whether the magnitude of the correlation between two variables should be, for example, 0.7 or 0.8. The below questions don't ask you to make a decision like this.
Question 1
A correlation of r = +0.7 between gender and height.
|
Reasonable |
|
|
Not reasonable |
Question 2
Let X = speed of vehicles driving on the highway and Y = distance for the vehicles to stop when the brakes are applied.
A correlation of r = +1.0 between X and Y.
|
Reasonable |
|
|
Not reasonable |
Question 3
A correlation of r = 0 between number of slurpees (a frozen beverage) sold at 7-Eleven in one day and number of cups of hot chocolate sold at the same store in the same day.
|
Reasonable |
|
|
Not reasonable |
Question 4
A correlation of r = +0.7 between number of pages in a fiction novel and time it takes to read the novel.
|
Reasonable |
|
|
Not reasonable |
Question 5
Let X = time it takes a marathon runner to finish the race and Y = number of runners who finish ahead of him.
A correlation of r = -0.8 between X and Y.
|
Reasonable |
|
|
Not reasonable |
In: Statistics and Probability
Chhom, Inc., manufactures and sells two products: Product F9 and Product U4. Data concerning the expected production of each product and the expected total direct labor-hours (DLHs) required to produce that output appear below:
| Expected Production | Direct Labor-Hours Per Unit | Total Direct Labor-Hours | |
| Product F9 | 100 | 2.0 | 200 |
| Product U4 | 200 | 1.0 | 200 |
| Total direct labor-hours | 400 | ||
The direct labor rate is $29.70 per DLH. The direct materials cost per unit is $263 for Product F9 and $266 for Product U4.
The company is considering adopting an activity-based costing system with the following activity cost pools, activity measures, and expected activity:
| Estimated | Expected Activity | |||||
| Activity Cost Pools | Activity Measures | Overhead Cost | Product F9 | Product U4 | Total | |
| Labor-related | DLHs | $ | 48,000 | 200 | 200 | 400 |
| Production orders | orders | 76,200 | 200 | 200 | 400 | |
| Order size | MHs | 155,280 | 3,200 | 2,700 | 5,900 | |
| $ | 279,480 | |||||
The overhead applied to each unit of Product U4 under activity-based costing is closest to: (Round your intermediate calculations to 2 decimal places.)
In: Accounting
Consider the following hypothesis test.
H0: σ12 = σ22
Ha: σ12 ≠ σ22
(a)
What is your conclusion if
n1 = 21,
s12 = 2.2,
n2 = 26,
and
s22 = 1.0?
Use
α = 0.05
and the p-value approach.
Find the value of the test statistic.
Find the p-value. (Round your answer to four decimal places.)
p-value =
State your conclusion.
Reject H0. We cannot conclude that σ12 ≠ σ22.Do not reject H0. We cannot conclude that σ12 ≠ σ22. Reject H0. We can conclude that σ12 ≠ σ22.Do not reject H0. We can conclude that σ12 ≠ σ22.
(b)
Repeat the test using the critical value approach.
Find the value of the test statistic.
State the critical values for the rejection rule. (Round your answers to two decimal places. If you are only using one tail, enter NONE for the unused tail.)
test statistic≤test statistic≥
State your conclusion.
Reject H0. We cannot conclude that σ12 ≠ σ22.Do not reject H0. We cannot conclude that σ12 ≠ σ22. Reject H0. We can conclude that σ12 ≠ σ22.Do not reject H0. We can conclude that σ12 ≠ σ22.
In: Statistics and Probability
Assume you have just been hired as a business manager of Pizza Palace, a regional pizza restaurant chain. The company’s EBIT was $50million last year and is not expected to grow. The firm is currently financed with all equity,and it has 10million shares outstanding.When you took your corporate finance course,your instructor stated that most firms ’owners would be financially better off if the firms used some debt. When you suggested this to your new boss, he encouraged you to pursue the idea. As a first step, assume that you obtained from the firm’s investment banker the following estimated costs of debt for the firm at different capital structures: PERCENT FINANCED WITH DEBT, Wd rd 0% - 20 8.0% 30 8.5 40 10.0 50 12.0 If the company were to recapitalize, then debt would be issued and the funds received would be used to repurchase stock. PizzaPalace is in the 40% state-plus-federal corprate tax bracket, its beta is 1.0, the risk free rate is 6%, and the market risk premium is 6%. .Using the free cash flow valuation model, show the only avenues by which capital structure can affect value.
In: Finance
1.
A) Calculate the wavelength of maximum energy emission and the total energy emitted each of the following objects: a) A tree, with a surface temperature of 18 oC and an emissivity 0.98 (2); b) A lake, with a surface temperature of 10 oC and an emissivity of 0.98(2).
B) Calculate the surface temperature of the following objects with a wavelength of maximum energy emission of: a) 10 micrometers(1); b) 500 nanometers (1).
C) Calculate the surface temperature of the following objects (assume both have an emissivity of 1.0): a) 200 W m-2 (1); b) 400 W m-2 (1).
D) If you have 1000 W m-2 of incident solar radiation perpendicular to a surface, calculate the solar radiation you would have at zenith angles of; a) 45o (1); b) 60o (1).
E) Most aquatic algae require a minimum of 25% of the solar radiation at the top of the water’s surface for photosynthesis. If the water’s extinction coefficient is 0.5 m-1, what is the maximum depth you could expect algal growth? (2)
F) Twelve percent of the solar radiation reaches the forest floor. The extinction coefficient is 0.4 m-1. What is the leaf area index of the forest? (2)
In: Physics
Roten Manufacturing Company is considering an investment on a machine for producing auto parts. The machine costs $250,000 today, will have a five-year life and will be depreciated over a five-year life on a straight-line basis toward a zero salvage value. The company paid a consulting company $7,000 last year to help them decide whether there is a sufficient demand for the auto parts. In addition to the investment on the machine, the company also invests $15,000 in net working capital but decides NOT to recoup the net working capital at the end of the fifth year. The company has estimated the performance of the new machine and believes the following are good estimates of the new asset: sales $140,000 per year, cost of goods sold (35% of sales) per year, and administrative expenses $15,000 per year. The company pays interest $20,000 annually on average, has a 10% cost of capital and a 30% tax rate. Answer the following questions.
What is NPV for the project?
| a. |
$2,653.87 |
|
| b. |
-$6,468.34 |
|
| c. |
$1,653.45 |
|
| d. |
-$31,469.12 |
What is IRR for the project?
| a. |
7.74% |
|
| b. |
8.52% |
|
| c. |
9.04% |
|
| d. |
6.39% |
What is PI for the project?
| a. |
1.8968 |
|
| b. |
0.9756 |
|
| c. |
0.9430 |
|
| d. |
1.0 |
Should Roten accept the project?
| a. |
No |
|
| b. |
Yes |
In: Finance
Using the data provided in the excel file, show all of your work
for the following calculations:
a.) mean temperature of unmixed reagents (oC)
b.) δελταT from graph (oC)
c.) q absorbed by reaction mixture (J)
d.) q absorbed by calorimeter, stirrer, and thermometer (J)
e.) q total absorbed (J)
f.) q total released (J)
g.) calculation to show limiting reagent
h.) deltaH neutralization for the reaction (kJ/mole of acid)
|
||||||||||||||||||||||||||||||
| Data for mixing hydrochloric acid and ammonia | ||||||||||||||||||||||||||||||
| Time(min) | Temp(oC) | |||||||||||||||||||||||||||||
| 0.0 | 23.25 | |||||||||||||||||||||||||||||
| 0.5 | 23.27 | |||||||||||||||||||||||||||||
| 1.0 | 23.28 | |||||||||||||||||||||||||||||
| 1.5 | 23.30 | |||||||||||||||||||||||||||||
| 2.0 | 23.30 | |||||||||||||||||||||||||||||
| 3.0 | 23.35 | |||||||||||||||||||||||||||||
| 4.0 | 23.44 | |||||||||||||||||||||||||||||
| 4.5 | 23.47 | |||||||||||||||||||||||||||||
| mix | --------- | |||||||||||||||||||||||||||||
| 5.5 | 28.75 | |||||||||||||||||||||||||||||
| 6.0 | 28.50 | |||||||||||||||||||||||||||||
| 7.0 | 28.55 | |||||||||||||||||||||||||||||
| 8.0 | 28.48 | |||||||||||||||||||||||||||||
| 9.0 | 28.32 | |||||||||||||||||||||||||||||
| 10.0 | 28.25 | |||||||||||||||||||||||||||||
| 11.0 | 28.20 | |||||||||||||||||||||||||||||
| 12.0 | 28.05 | |||||||||||||||||||||||||||||
| 13.0 | 27.96 | |||||||||||||||||||||||||||||
| 14.0 | 27.80 | |||||||||||||||||||||||||||||
| 15.0 | 27.75 | |||||||||||||||||||||||||||||
In: Chemistry