You are the director of pharmacy at a large regional medical center. It has come to your attention that Dr. Smith, a hospital oncologist, has been prescribing medicines for cancer patients that are not labeled for cancer treatment. While "off-label" prescription is not against the law, you now recall a recent interview Dr. Smith did on a radio talk show. During that interview Dr. Smith talked about his discovery of the effectiveness of green-tea, honey and homeopathic treatments for cancer patients. Such a "holistic" approach to medicine has a certain appeal, especially to patients who have received a poor prognosis. Many cancer patients who were told they have only a few months to live by their doctors have come to your hospital from hundreds of miles away to be treated by Dr. Smith.

In addition to his work at your hospital, Dr. Smith owns and runs a clinic located in a poor Mississippi Delta community. When your hospital recently replaced its old outdated sterilizer machines, Dr. Smith asked if he could have one of the old machines for use at his clinic. Dr. Smith is well known and most of his patients like him. Last year he received an award from a religious group for his service to the poor. However, you know that Dr. Smith recently divorced his third wife. Her lawyer, known for her aggressive style and hard bargaining, won a huge alimony and support judgment worth $3 million against Dr. Smith. Rumor is that Dr. Smith is struggling financially, because he sold one of his sports cars.

How should you handle this situation? In your paper, be sure to consider the responsibilities and interests of your department, as well as the hospital. Include the issues of insurance reimbursement, standard of care, informed consent, public image of the hospital, and Medicare/Medicaid reimbursement. Are there other legal issues? Are there other moral or ethical issues?

For the next three questions use this information to calculate the values listed below the data set.

The following table shows the before and after effects of a policy change that increases the number of visits by caregivers to those homes with people needing assistance. Data were gathered for 6 months prior to the policy change (a time when visits were once per day in the morning) and after the policy change (visits increased from once per day to 2-3 times per day). The scores were from a modified life enthusiasm scale where higher scores indicated higher contentment. Do the data presented show an increase in contentment? Test at α=.01

What is(are) the critical value(s) for this information? (Round to two decimal places, and if two tailed please put only the positive value)

A construction company employing 288 people experienced the following safety record for the year:

• 1 fatality
• 8 cuts, requiring stitches
• 47 cuts, requiring bandages only
• 18 cuts, requiring bandages & tetanus shots
• 41 sprains requiring cold therapy
• 8 sprains, resulting in lost time
• 2 sprains, resulting in restricted duty

Assuming an overtime rate of 22%, calculate:

1. . OSHA Recordable Rate
2. 2. OSHA Lost Time Rate
3. Populate the MS XL OSHA 300A (Summary)

TYPE EVERY THING PLEASE. SO I CAN COPY

Use a 5% significance level.

In a large city,  200  persons were selected at random and each person was asked how many tickets he purchased that week in the state lottery. The results are given in the following table. Suppose that among the  7  persons who had purchased  five  or more tickets,  3  persons had purchased exactly five tickets,  2  persons had purchased six tickets,  1  had purchased seven tickets, and  1  had purchased ten tickets. Test the hypothesis that these  200  observations form a random sample from a  Poisson distribution.                                                                                                      

Daneen has borrowed $6000 from her bank to buy a new machine for her business. She has promised to make payments of $2000 after two years, $2500 after three years, and a final payment after five years. What is the size of the last payment, if interest is 8% compounded semiannually? show caculation by BAII plus CAlculator.You are encouraged to draw the timelines for yourself to help you with setting up the logic of how to solve the problem.

The Economic Order Quantity (EOQ) model is a classical model used for controlling inventory and satisfying demand. Costs included in the model are holding cost per unit, ordering cost and the cost of goods ordered. The assumptions for that model are that only a single item is considered, that the entire quantity ordered arrives at one time, that the demand for the item is constant over time, and that no shortages are allowed.

Suppose we relax the first assumption and allow for multiple items that are independent except for a restriction on the amount of space available to store the products. The following model describes this situation:

The decision variables are Q_j, the amount of item j to order. The model is:

In the objective function, the first term is the annual cost of goods, the second is the annual ordering cost (D_j/Q_j is the number of orders), and the last term is the annual inventory holding cost (Q_j/2 is the average amount of inventory).

Set up a spreadsheet model for the following data:

W = 5,000

i = 0.2

Solve the problem using Excel Solver. Hint: You will need to start with decision variable values that are greater than 0 for Solver to find a solution.

If required, round your answers to two decimal places.

Optimal Solution:

Q₁ = _______

Q₂ = _______

Q₃ = _______

If required, round your answer to the nearest dollar. Do not round intermediate calculations.

Total cost = $________

The Economic Order Quantity (EOQ) model is a classical model used for controlling inventory and satisfying demand. Costs included in the model are holding cost per unit, ordering cost and the cost of goods ordered. The assumptions for that model are that only a single item is considered, that the entire quantity ordered arrives at one time, that the demand for the item is constant over time, and that no shortages are allowed.

Suppose we relax the first assumption and allow for multiple items that are independent except for a restriction on the amount of space available to store the products. The following model describes this situation:

The decision variables are Q_j, the amount of item j to order. The model is:

In the objective function, the first term is the annual cost of goods, the second is the annual ordering cost (D_j/Q_j is the number of orders), and the last term is the annual inventory holding cost (Q_j/2 is the average amount of inventory).

Set up a spreadsheet model for the following data:

W = $21,000

i = 0.3

Solve the problem using Excel Solver. Hint: You will need to start with decision variable values that are greater than 0 for Solver to find a solution.

If required, round your answers to two decimal places.

Optimal Solution:

Q₁ =  

Q₂ =  

Q₃ =  

If required, round your answer to the nearest dollar. Do not round intermediate calculations.

Total cost = $

The Economic Order Quantity (EOQ) model is a classical model used for controlling inventory and satisfying demand. Costs included in the model are holding cost per unit, ordering cost and the cost of goods ordered. The assumptions for that model are that only a single item is considered, that the entire quantity ordered arrives at one time, that the demand for the item is constant over time, and that no shortages are allowed.

Suppose we relax the first assumption and allow for multiple items that are independent except for a restriction on the amount of space available to store the products. The following model describes this situation:

The decision variables are Q_j, the amount of item j to order. The model is:

In the objective function, the first term is the annual cost of goods, the second is the annual ordering cost (D_j/Q_j is the number of orders), and the last term is the annual inventory holding cost (Q_j/2 is the average amount of inventory).

Set up a spreadsheet model for the following data:

W = $21,000

i = 0.3

Solve the problem using Excel Solver. Hint: You will need to start with decision variable values that are greater than 0 for Solver to find a solution.

If required, round your answers to two decimal places.

Optimal Solution:

Q₁ =  

Q₂ =  

Q₃ =  

If required, round your answer to the nearest dollar. Do not round intermediate calculations.

Total cost = $

1.) Suppose we have the following values for a dependent variable, Y, and three independent variables, X1, X2, and X3. The variable X3 is a dummy variable where 1 = male and 2 = female:X

a.) Run the multiple regression in Excel and provide the resulting multiple regression equation.

b.) Provide the R-Square measure. Is this a good regression model? Explain. Use a level of significance of 0.05 in any tests you consider.

c.) Which variables are important in explaining Y when the level of significance is 0.05? Is the dummy variable important at this level of significance? Discuss what coefficients mean regarding the effect of each variable on Y.

d.) Suppose a female with X1= 5 and X2= 80 is selected. What would be her predicted value of Y?

e.) What types of problems might exist in this multiple regression?

Do you notice any potential outliers? If so, what values are they? Show your work in how you used the potential outlier formula to determine whether or not the values might be outliers.
Construct a box plot displaying your data.
Does the middle 50% of the data appear to be concentrated together or spread apart? Explain how you determined this.
Looking at both the histogram and the box plot, discuss the distribution of your data.