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3 years ago

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Suppose that the price of a money clip increases from $0.75 to $0.90 and quantity supplied rises from 8,000 units to 10,000 unit

s. Use the midpoint formula to calculate the price elasticity of supply.

1 answer:

Sloan [31]3 years ago

8 0

Answer:

The price elasticity of supply is 1.22

Explanation:

Please refer to the attached file

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An advertising agency conducted a research to analyze the effects of advertising on the buying behavior of consumers. It was fou

Feliz [49]

Answer:

There is a positive linear relationship between the frequency of advertising and the sales of the advertised product.

Explanation:

A linear relationship is stablished between 2 quantitative variables that have constant proportionality. In this case, the variables are directly proportional to eachother as they move in the same direction. In addition, they are both increasing. So, we can conclude these variables have a positive linear relationship.

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4 years ago

13. Assume that Cane’s customers would buy a maximum of 80,000 units of Alpha and 60,000 units of Beta. Also assume that the raw

timurjin [86]

Answer:

80000 unit of Alpha

Explanation:

This is a Limiting factor/resource constraint question. In certain situations entities suffer from shortage of necessary resources (e.g: shortage of material, labor hours, machine hours), in such circumstances entities strive to allocate the constraint resources to the production of those products which generate the highest contribution per limiting factor and help maximize total contribution. In this case the limiting factor for Cane is Raw material.

Lets suppose that each unit of <em>Alpha and Beta sell for $120 and $80</em> respectively and variable cost per unit of <em>Alpha and Beta is $69 and $20 </em>respectively. Each unit of <em>Alpha and Beta require 2 and 5 pounds</em> of raw material for production respectively.

Now that we have supposed the data we have to compute contribution per unit and then contribution per limiting factor and based on the ranking (i.e highest first) of contribution per limiting factor we decide which product should be given priority for resource allocation.

<em>Lets calculate contribution per unit.</em>

Alpha:

Contribution per unit= SP-VC

Where, SP stands for selling price and VC stands for variable cost.

CPU= 120-69

CPU=$51

Beta:

Contribution per unit= 80-40

CPU=$40

<em />

<em />

<em>Now, lets calculate contribution per limiting factor.</em>

Alpha:

CLF: $51÷2

CLF: $25.5 1st Rank

Beta:

CLF: $40÷5

CLF: $8 2nd Rank

So clearly Alpha has a greater contribution per limiting factor and it implies that Alpha will earn the highest contribution margin therefore Cane should produce and allocate resources to Alpha first and then Beta if there remains any?

Profit maximizing output:

It requires 2 pounds of raw material to produce one unit of Alpha (i.e 80000×2=160000) Therefore Cane should produce 80000 units of Alpha only in order to maximize its profits.

3 0

3 years ago

Before making a final decision on which sources of funding to pursue, entrepreneurs should consider:

Romashka [77]

d. all of these are correct

6 0

4 years ago

Consider the following linear program: Min s.t. 8X + 12Y 1X + 3Y >= 9 2X + 2Y >= 10 6X + 2Y >= 18 A, B >= 0 a. Use t

mihalych1998 [28]

Answer: Graph of (A) (B) and {D) are attached accordingly.

Explanation:

A)

The critical region of the constraints can be seen in the following diagram -

(0,9) (0,5) (0,3) (0,0) (3,0) (5,0) (9,0) The feasible region is shown in white

The intersection points are found by using these equations -

Vertex Lines Through Vertex Value of Objective

(3,2) x+3y = 9; 2x+2y = 10 48

(9,0) x+3y = 9; y = 0 72

(2,3) 2x+2y = 10; 6x+2y = 18 52

(0,9) 6x+2y = 18; x = 0 108

So, we can see the minimum value of the objective function occurs at point (3,2) and the minimum value of the objective function is = 48.

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B)

When we change the coefficients of the variables in the objective function, the optimal solution may or may not change as the weights (coefficient) are different for each constraints for both the variabls. So, it all depends on the coefficient of the variables in the constraints.

In this case, the optimal solution does not change on changing the coefficient of X from 8 to 6 in the objective function.

The critical region would remain same (as shown below) as it is defined by the constraints and not the objective function.

(0,9) (0,5) (0,3) (0,0) (3,0) (5,0) (9,0) The feasible region is shown in white

However, the optimal value of the objective function would change as shown below-

Vertex Lines Through Vertex Value of Objective

(3,2) x+3y = 9; 2x+2y = 10 42

(9,0) x+3y = 9; y = 0 54

(2,3) 2x+2y = 10; 6x+2y = 18 48

(0,9) 6x+2y = 18; x = 0 108

So, we can see that the minimum value now has become 42 (which had to change obviously).

-------------------------------------------------------------------------------------------------------------------------------------------------------

C)

Now, when we change the coefficient of the variable Y from 12 to 6, again the critical region would remain same as earlier. But in this case, the optimal solution changes as shown below -

Vertex Lines Through Vertex Value of Objective

(3,2) x+3y = 9; 2x+2y = 10 36

(9,0) x+3y = 9; y = 0 72

(2,3) 2x+2y = 10; 6x+2y = 18 34

(0,9) 6x+2y = 18; x = 0 54

We can see that the minimum value now occurs at (2,3) which is 34, so both the optimal solution and optimal value have changed in this case.

----------------------------------------------------------------------------------------------------------------------------------------------------------

D)

When we limit the range of the variables as -

4 \leq X \leq 8 \:\: and\:\: 12\leq Y \leq 24,

the critical region now becomes -

So, the new critical points are (4,12), (4,24), (8,24) and (8,12).

So, the values of the objective function at these points can be calculated as -

Vertex Value of Objective

(4,12) 8*4+12*12 = 176

(4,24) 8*4+12*24 = 320

(8,24) 8*8+12*24 = 352

(8,12) 8*8+12*12 = 208

So, the new optimal solution is (4,12) and the optimal value is 176.

if we knew the range of the variables in the part B and C earlier, we could have just said that the optimal solution will not change as the value would have been no longer depended on the coefficients of variables in the constraints.

7 0

4 years ago

A mixed cost: A. Requires the future outlay of cash and is relevant for future decision making. B. Does not change with changes

Ket [755]

Answer:

6. D. Contains a combination of fixed costs and variable costs.

7. B. Does not change with changes in the volume of activity within the relevant range.

8. C. Direct materials, direct labor, and factory overhead.

9. A. Finished goods inventory.

10. D. Work-in-Process inventory.

11. B. Cost of goods purchased.

Explanation:

6. Mixed cost is a combination of fixed costs and variable costs. Therefore, the option "D" is the correct answer. However, it is not directly traceable to a cost object. The mixed cost has not been incurred until the manufacturer uses it. It cannot change up to a specific volume, but mixed cost increases after that limit — for example - Telephone bill or Electric bill.

7. Fixed cost is the cost that does not change as the volume changes within the relevant range. Therefore, option <em>B</em> is right, and option <em>D</em> is incorrect. Because it does not require the future outlay of cash for decision making, it is not directly traceable to a cost object. If the manufacturer does not rent a house for administrative purposes, it can be avoided.

8. The three major cost components of a manufactured product are-

Direct materials, direct labor, and factory overhead. Those are the combination of manufacturing cost. So, <em>C</em> is the answer. Indirect labor and materials are not major cost components, so <em>B</em> is incorrect. Opportunity cost and sunk costs are decision-making costs, so <em>D</em> is wrong. Selling, administrative, and marketing costs are non-manufacturing costs, so <em>A</em> and <em>E</em> are wrong.

9. When the manufacturing firm has completed the production of a specific product but has not yet sold to the customers or third parties, it is termed as the finished goods inventory. In short, it states that the number of manufactured products that are available for sale. It is a current asset for the manufacturer because those can be sold within a year.

10. Work-in-process inventory is such a type of manufacturing inventory or cost that has not yet been manufactured or partially manufactured or in the process of manufacturing. It is not a conversion costs because it may incur the direct labor and manufacturing overhead. It cannot be a finished good or cost of goods sold.

11. A manufacturing firm's cost of goods manufactured is equivalent to a merchandising firm's cost of goods purchased. Therefore, the option "B" is correct.

The cost of goods sold is measured with the help of the cost of goods purchased. So, option <em>A</em> is incorrect. After adding the costs of goods manufactured with the beginning finished goods inventory, we can get the costs of goods available for sale. Therefore, <em>C</em><em>, </em><em>D</em><em>, </em>and<em> </em><em>E</em> cannot be the answer.

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4 years ago