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Alex777 [14]
4 years ago
12

Automated Manufacturers uses high-tech equipment to produce specialized aluminum products for its customers. Each one of these m

achines costs $1,480,000 to purchase plus an additional $52,000 a year to operate. The machines have a 6-year life after which they are worthless. What is the equivalent annual cost of one these machines if the required return is 16 percent?
Business
1 answer:
Nata [24]4 years ago
7 0

Answer: The machine costs 1,480,000 and has a life of 6 years with no salvage value. Which means that the depreciation cost of the machine each year is 1,480,000/6=246,666 and $52,000 operational cost which brings the annual cost to $298,666

But because the machines required rate of return is 16% we have to add in this as a cost as well so that annual cost will be

$298,666*1.16=$346,452

Explanation:

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The "Fashion Place" carries a carefully selected and distinctive assortment of traditional women's
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Answer:

specialty-store.

Explanation:

Based on the information provided within the question it seems that "The Fashion Place" is probably a specialty-store. These are stores that focus on selling a very specific category of product. Which is exactly what this store is doing by selling only clothes aimed for upper-class executive women's clothing (specialty).

5 0
3 years ago
Explain how the costs of poor quality can affect competitiveness.
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The competitiveness of a good usually depends on two key factors: its price, and its quality. While poor quality goods are less competitive from a quality perspective but poor quality goods are usually cheaper to produce resulting to a lower final price. So overall, the lower the cost and the higher the quality the more competitive a good is.
8 0
4 years ago
You were hired by a small business as the project manager of a project involving a market analysis. This project will determine
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Explanation:

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8 0
3 years ago
increases in government spending are not very effective in offsetting real shocks because they shift the:
yulyashka [42]

Increases in government spending are not very effective in offsetting real shocks because they shift the aggregate demand.

<h2>Definition of Aggregate Demand</h2>

Aggregate demand is the value of all requests for all types of goods and services produced in a certain period. The demand value contained in this aggregate will be expressed in terms of the overall value used for these goods and services up to a more specific price level and at a certain time period.

Some things that include aggregate demand are all consumer goods, capital goods used for the production process, import-export activities, and state government spending programs. Each of these variables will be considered the same as long as they are traded at the same market value.

This aggregate demand can also be calculated over a long period of time, which is often referred to as GDP or Gross Domestic demand. If this GDP will describe the total value and also the goods produced, then aggregate demand will represent the desire for goods and services.

Learn more about aggregate demand at brainly.com/question/29349235.

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5 0
1 year ago
Economy of Economy Stock A Stock B Recession .20 .010 –.35 Normal .55 .090 .25 Boom .25 .240 .48
zavuch27 [327]

Answer:

a.  STOCK A

State of nature  R(%)           P        ER            R-ER        R - ER2.P          

Recession           0.010      0.20    0.002      -0.1015     0.00206045

Normal                0.090     0.55     0.0495    -0.0215    0.0002542375

Boom                  0.240      0.25     0.06         0.1285     0.0041280625                                                    

                                                  ER   0.1115       Variance 0.00644275    

STOCK B                                                                                                                                                                                                                                                                                                                                          

State of nature   R(%)           P          ER        R - ER        R - ER2.P                  

Recession         -0.35         0.20    -0.07       -0.5375    0.05778125                                                                                                                                                                                                                                                                        

Normal               0.25         0.55     0.1375     0.0625    0. 0021484375

Boom                 0.48          0.25     0.12         0.2925    0.021389062                                                                                                                                                                                                                                                                                                                                                                                

                                              ER      0.1875    Variance  0.08131875  

Expected return of stock A = 0.1115  = 11.15%

Expected return of stock  B = 0.1875 = 18.75%

b.  Standard deviation of stock A = √0.00644275 = 0.0802                                                              

Standard deviation of stock B = √0.08131875= 0.2852                                        

                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           

Explanation:

In the first case, there is need to calculate the expected return                                                                                                                                                                                                                                                                                                                                                  of each stock by multiplying the return by probability.

In the second case, we need to obtain the variance. The square root of variance gives the standard deviation. Variance is calculated by deducting the expected return from the actual return, then, raised the         difference by power 2 multiplied by probability.                                                                                                                                                                                                                                                                    

4 0
4 years ago
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