. Marsha Jones has bought a used Mercedes horse transporter for her Connecticut estate. It cost $35,000. The object is to save on horse transporter rentals. Marsh had been renting a transporter every other week for $200 per day plus $1.00 per mile. Most of the trips are 80 or 100 miles in total. Marsha usually gives her driver, Joe Laminitis, a $40 tip. With the new transporter she will only have to pay for diesel fuel and maintenance, at about $0.45 per mile. Insurance costs for Marsha’s transporter are $1,200 per year. The transporter will probably be worth $15,000 (in real terms) after eight years, when Marsha’s horse Spike, will be ready to retire. Is the transporter a positive-NPV investment? Assume a nominal discount rate of 9% and a 3% forecasted inflation rate. Marsha’s transporter is a personal outlay, and not a business or financial investment, so taxes can be ignored.

“For months, Daniel Zhang huddled with a small team in an underground garage in Shanghai. The chief executive of Alibaba Group Holdings Ltd. was working on a secret plan that would sound crazy even to many of his own colleagues 100 miles away in Hangzhou. Zhang wanted to launch a start-up inside the e-commerce giant that would combine a grocery store, a restaurant, and a delivery app, using robotics and facial recognition to speed up logistics and payment. That project, Freshippo, has since become a major part of Zhang’s blueprint for Alibaba’s future, with 150 stores (and counting) across 17 Chinese cities.”

In light of the above observation, identify and critically discuss the strategy underpinning the “new retail” that Alibaba Group Holdings Ltd. is pursuing under Daniel Zhang, the chief executive and chairman. In your discussion, highlight the main characteristics of the strategy as well as a brief SWOT analysis of Alibaba, using the information provided in the article.

ab Company, they’ve randomly divided the company’s cabs into two groups of equal size. Graphlex was added to the engine oil of the 45 cabs in the experimental group, while the 45 cabs in the control group continued to operate with the usual lubricant. Drivers were not informed of the experiment. After 1 month, fuel efficiency records were examined. For the 45 cabs using Graphlex, the average cab achieved 18.94 miles per gallon (mpg), with a standard deviation of 3.90 mpg. For the 45 cabs not using Graphlex, the average mpg was 17.51, with a standard deviation of 2.87 mpg. Graphlex is preparing a national advertising campaign to promote its ability to improve fuel efficiency. Assuming normality, perform a hypothesis test to determine whether cabs using Graphlex (group 1) get better fuel economy than cabs without it (group 2). Use the ߙ ൌ 0.05 level of significance.

The accompanying table shows a portion of a data set that refers to the property taxes owed by a homeowner (in $) and the size of the home (in square feet) in an affluent suburb 30 miles outside New York City.

a. Estimate the sample regression equation that enables us to predict property taxes on the basis of the size of the home. (Round your answers to 2 decimal places.)

Taxes= [ ] + [ ]Size

c. Predict the property taxes for a 1,700-square-foot home. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.)

Taxes= [ ]

Excel Data File

3.93 Automobile Depreciation For a random sample of 20 automobile models, we record the value of the model as a new car and the value after the car has been purchased and driven 10 miles.⁴⁷ The difference between these two values is a measure of the depreciation on the car just by driving it off the lot. Depreciation values from our sample of 20 automobile models can be found in the dataset CarDepreciation.

1. Find the mean and standard deviation of the Depreciation amounts in CarDepreciation.
2. Use StatKey or other technology to create a bootstrap distribution of the sample mean of depreciations. Describe the shape, center, and spread of this distribution.
3. Use the standard error obtained in your bootstrap distribution to find and interpret a 95% confidence interval for the mean amount a new car depreciates by driving it off the lot.

Notes: Please solve using Rstudio. show all work, including Rstudio code. Also, You will need to make a bootstrap distribution in this one.

Thank you

A​ four-year-old truck has a present net realizable value of $6,000 and is now expected to have a market value of $1,900 after its remaining​ three-year life. Its operating disbursements are expected to be $740 per year. An equivalent truck can be leased for $0.35 per mile plus $25 a day for each day the truck is kept. The expected annual utilization is 2,500 miles and 30 days. The effective income tax rate is 45​%, the present book value is $4,750​, and the depreciation charge is ​$900 per year if the firm continues to own the truck. If any gains or losses on disposal of the old truck affect taxes at the full 45​% ​rate, and the​ after-tax MARR is 5​%, find which alternative is better by comparing​ after-tax equivalent PWs

a. using only the preceding​ information;

b. using further information that the annual cost of having to operate without a truck is ​$2,000.

1.) 25 Pittsburgh residents were asked how much sleep they get per night. The mean was 7.2 hours and the standard deviation was 0.78 hours. Construct and interpret a 90% confidence interval for the true mean number of hours of sleep that Pittsburgh residents get per night.

2.) A sample of 11 Chevy Volt drivers resulted in them having a mean of 42.6 miles per gallon (mpg) and a standard deviation of 4.8 mpg. Construct and interpret a 95% confidence interval for the mean gas mileage of all Chevy Volt drivers.

3.) A researcher believes the mean price of regular gas in Pennsylvania has increased from last month's mean of $2.88. A sample of 50 gas stations yields a mean price of $2.98 and a standard deviation of $0.50. Conduct a hypothesis test at the 10% significance level.  Make sure to give the hypotheses, test statistic, p-value, decision, and a practical interpretation.

Use Excel to Answer.

A random sample of six cars from a particular model year had the fuel consumption figures, measure in miles per gallon, shown below.

1. Using T.INV, find a 90% confidence interval for the population mean of fuel consumption for cars of this model year. Assume the distribution is normal.   (Round to 2 digits, since our raw data below are expressed with one digit.) (Show work in space provided.)

(ii) Calculate the same interval using CONFIDENCE.T. (Show work in space provided.)

(iii) Calculate the same interval using T.INV.2T.

(Note: when calculating the lower and upper bounds of the interval, do not use a rounded mean that you’ve calculated with AVERAGE. Use the unrounded mean.   Round only the final answers, which are the lower and upper bounds of the interval. Also, make sure to use STDEV.S to calculate the sample standard deviation.)

              Data:

              28.6

              18.4

              19.2

              25.8

              19.4

              20.5

Please create an array of Leg objects, one constructor that takes three parameters as constant C string, and one number representing the distance in miles between the two cities

Write a code block to create a static array (that is, not dynamic and not a vector) of 3 Leg objects using city names of your choosing. That's THREE objects, each created using THREE parameters. For example, the Leg class declaration looked like,

class Leg
{
  const char* const startCity;
  const char* const endCity;
  const double distance;
public:
  Leg(const char* const, const char* const, const double);
};

HINT: "constant C strings" as parameters and as constant data members are const char* const constant read-only pointers. Do NOT use char arrays for this (that is, no square brackets).

I am not sure how can we create an array without square brackets?

Mr. H is a 30-year-old man. He was riding his bike to work and was struck by a vehicle traveling at 35 miles per hour.  He was comatose with a GCS 7 upon arrival to the ED.

1. What are the leading causes of traumatic brain injury in the United States?  Describe important teaching points in prevention of a TBI.  

2. Traumatic brain injury can be classified into primary brain injury and secondary injury, describe the differences in the two types of injury.  List common types of injury of each.

3. Outline the different components of assessing a patient with a traumatic brain injury.

4. Describe the initial management of a patient with a traumatic brain injury.

5. What are the cardiovascular complication and pulmonary complications from a traumatic brain injury?  Describe the nurse’s role in prevention.  

6. TBI carries a high mortality rate and brain death is an important diagnosis to understand.  Describe what the term brain death means and how the nurse can help the family through this difficult time.