Required information [The following information applies to the questions displayed below.] Cane Company manufactures two products called Alpha and Beta that sell for $130 and $90, respectively. Each product uses only one type of raw material that costs $5 per pound. The company has the capacity to annually produce 102,000 units of each product. Its average cost per unit for each product at this level of activity are given below: Alpha Beta Direct materials $ 25 $ 10 Direct labor 22 21 Variable manufacturing overhead 17 7 Traceable fixed manufacturing overhead 18 20 Variable selling expenses 14 10 Common fixed expenses 17 12 Total cost per unit $ 113 $ 80 The company considers its traceable fixed manufacturing overhead to be avoidable, whereas its common fixed expenses are unavoidable and have been allocated to products based on sales dollars.

8. Assume that Cane normally produces and sells 62,000 Betas and 82,000 Alphas per year. If Cane discontinues the Beta product line, its sales representatives could increase sales of Alpha by 17,000 units. What is the financial advantage (disadvantage) of discontinuing the Beta product line?

9. Assume that Cane expects to produce and sell 82,000 Alphas during the current year. A supplier has offered to manufacture and deliver 82,000 Alphas to Cane for a price of $88 per unit. What is the financial advantage (disadvantage) of buying 82,000 units from the supplier instead of making those units?

10. Assume that Cane expects to produce and sell 52,000 Alphas during the current year. A supplier has offered to manufacture and deliver 52,000 Alphas to Cane for a price of $88 per unit. What is the financial advantage (disadvantage) of buying 52,000 units from the supplier instead of making those units?

12. What contribution margin per pound of raw material is earned by each of the two products? (Round your answers to 2 decimal places.)

A Asset Valuation = Price

B Wealth Accumulation

C Funding – Lump sum funds lump sum

D Funding – Lump sum funds ordinary level annuity

E Funding – Lump sum funds delayed level annuity

F Funding – Ordinary level annuity funds lump sum

G Funding – Ordinary level annuity funds delayed level annuity

H Classify the problem as one of the above types.

Classify the problem as one of the above types.

1. You earn 8% per year on your investments, how much do you have to invest today to “Fund” a payment of $1,000 due in 4 years?

2.  How much would you have to invest today to fund three equal payments in periods 1, 2 and 3 of $100 each if the interest rate is 3%?

3. How much would you have to invest today to fund three payments of $200 each in periods 3, 4 and 5 if the interest rate is 6%?

4. Your child is planning attend summer camp for three months, starting 7 months from now. The cost for camp is $1,000 per month, each month, for the three months she will attend.

If your investments earn 5% APR (compounded monthly), how much must you invest today such that your investment will  grow to just cover the cost of the camp?

5. You need $15,000 in 9 months to settle an overdue tax liability. If your investments earn 6% APR (compounded monthly), how much do you have to invest each month, starting next month, for 4 months, such that your investment will grow to just cover your property tax bill?

6. You’ve had a great year at your job and to reward you, your boss offers you one of two choices:

-A lump sum bonus today of $5,000

- An increase in your monthly salary of $700 for the next 12 months.

If your investments earn 3% APR, compounded monthly, which alternative is worth more (as of today)?

7. You would like to retire 30 years from now. You expect that your retirement will last of 40 years. You want to be able to withdraw $5,000 per month from your retirement account during your retirement.

How much must you invest, starting next month, for the next 30 years to exactly fund your retirement if your investments earn 5% APR, compounded monthly?

CORAL Language Only:

Write a program that first gets a list of six integers from input. The first five values are the integer list. The last value is the upper threshold. Then output all integers less than or equal to the threshold value.

Ex: If the input is 50 60 140 200 75 100, the output is:

50 60 75

For coding simplicity, follow every output value by a space, including the last one.

Such functionality is common on sites like Amazon, where a user can filter results.

Your program should define and use a function:

Function outputIntsLessThanOrEqualToThreshold(integer array(?) userVals, integer upperThreshold) returns nothing

Quality Supply is a distributor of pharmaceutical products. Its ABC system has five activities:

Rick? Flair, the controller of Quality Supply?, wants to use this ABC system to examine individual customer profitability within each distribution market. He focuses first on the Ma and Pa? single-store distribution market. Using only two customers helps highlight the insights available with the ABC approach. Data pertaining to these two customers in August 2013 are as? follows:

Use the ABC information to compute the operating income of each customer in August 2013. Comment on the results and? what, if? anything, Flair should do. ?(Round your answers to the nearest whole dollar. Use parentheses or a minus sign for operating? losses.)

Revenues

Cost of goods sold

Gross margin

Operating costs

Operating income(loss)

1. Suppose there are two inputs in the production function, labor and capital, which are substitutes. The current wage is $10 per hour and the current price of capital is $25 per hour.

1. Given the following information on the marginal product of labor and the marginal product of capital, find the firm’s profit-maximizing input mix (i.e. number of workers and units of capital) in the long-run. Show your work and explain.

2. Again, the wage is $10, the cost of capital is $25 and now firms want to spend $1000 to produce an optimal Q*. Graph the firm’s isocost line under these conditions and show the cost-minimizing level of labor and capital needed to produce Q*. (note: I am looking for a general L* and K*, you won’t be able to find specific numbers. You do need specific numbers for the isocost intercepts.)

In the survey on the quality of coffee A carried out among 90 randomly selected customers of the company dealing with its distribution, the following ratings were obtained:

a) Based on the above data, the hypothesis was verified that 40% of all customers put coffee higher than '6' with the alternative that less than 40% giving such a rating. So the p-value of the relevant test is:

b) The p-value calculated in the previous section will be LOWER / SAME / HIGHER than the p-value calculated for the alternative assuming that the percentage is different from 40%

This data was collected at a physician’s office. One measure of patient satisfaction is the likelihood of a patient scheduling a return appointment. The goal is to keep the proportion of patients “unlikely” to schedule a return appointment to at most 25%. Test if the goal is being met. Use =.05. Clearly state your conclusion.

DATA:

Return Appointment     Employment Status       Age      Distance

Unlikely            Employed         62        12.7

Unlikely            Unemployed     46        10.6

Likely    Employed         59        9.7

Unlikely            Unemployed     42        5.4

Likely    Employed         74        11.6

Unlikely            Employed         51        9.7

Likely    Unemployed     50        15.6

Unlikely            Employed         84        18.0

Likely    Employed         75        7.7

Unlikely            Unemployed     46        15.1

Likely    Employed         54        7.9

Likely    Unemployed     96        14.0

Likely    Employed         43        11.9

Unlikely            Unemployed     63        13.1

Unlikely            Unemployed     44        6.0

Unlikely            Employed         56        10.1

Likely    Employed         80        18.1

Unlikely            Unemployed     68        11.1

Likely    Employed         97        13.4

Likely    Unemployed     72        9.2

Likely    Unemployed     81        7.6

Unlikely            Employed         48        11.6

Likely    Unemployed     77        11.5

Likely    Unemployed     44        8.5

Likely    Employed         74        9.7

Unlikely            Employed         41        9.2

Unlikely            Unemployed     42        9.0

Likely    Unemployed     85        13.8

Likely    Employed         64        14.5

Likely    Unemployed     53        9.5

Unlikely            Employed         68        9.3

Likely    Unemployed     69        8.0

Likely    Employed         73        11.9

Likely    Unemployed     73        10.0

Likely    Unemployed     82        16.1

Likely    Unemployed     44        12.9

Likely    Unemployed     40        12.9

Likely    Employed         81        9.8

Likely    Unemployed     60        12.3

Unlikely            Employed         58        12.4

Likely    Employed         49        15.4

Likely    Employed         95        13.1

Unlikely            Employed         50        10.0

Likely    Unemployed     54        14.9

Likely    Employed         44        9.5

Likely    Unemployed     58        11.0

Unlikely            Employed         84        7.0

Unlikely            Employed         70        12.1

Unlikely            Unemployed     55        6.6

Unlikely            Employed         69        10.9

Likely    Unemployed     64        12.2

Unlikely            Unemployed     47        12.8

Unlikely            Unemployed     59        15.1

Unlikely            Employed         75        12.1

Likely    Employed         48        12.7

Unlikely            Unemployed     52        11.6

Likely    Unemployed     46        14.5

Likely    Unemployed     49        8.1

Likely    Employed         67        13.8

Likely    Unemployed     88        10.3

Unlikely            Employed         68        8.8

Likely    Unemployed     67        14.8

Likely    Unemployed     60        8.7

Unlikely            Employed         60        7.9

Likely    Unemployed     41        11.8

Unlikely            Employed         41        8.6

Unlikely            Employed         90        9.5

Likely    Unemployed     45        11.8

Likely    Unemployed     81        14.5

Likely    Unemployed     55        10.5

Unlikely            Unemployed     41        12.1

Likely    Unemployed     60        10.6

Unlikely            Unemployed     66        20.5

6.9. An order for 250 bell ringers is processed on work centers 10 and 20. The setup and run times are as follows. It is decided to overlap the lot on the two work centers and to split the lot into two lots of 100 and 150. Move time between operations is 30 minutes. Work center 20 cannot be set up until the first lot arrives. Calculate the saving in manufacturing lead time. Setup on A = 50 minutes Run time on A = 5 minutes per piece Setup on B = 100 minutes Run time on B = 7 minutes per piece Arnold Tony. Introduction to Materials Management (2-downloads) (p. 160). Pearson Education. Kindle Edition.