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vova2212 [387]
3 years ago
7

A _______, or duty, is money colonists paid for goods purchased from other countries

Business
1 answer:
svet-max [94.6K]3 years ago
6 0

A duty is a type of tax.

Consider the modern day examples of "duty free" shopping available in places like airports and certain tourist locations where people can purchase luxury goods without owing a tax to any country or locality.

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Until 1996, U.S. carmakers sent very few right-hand-drive cars to Japan while German carmakers exported several models with the
Alona [7]

Answer:

not satisfying customer needs on critical factors.

Explanation:

In this scenario American companies were supplying more of left hand side cars to Japan. When Japan needed more of the right hand side cars. They ignored the customer needs and instead gave him what he has little use for.

On the other hand Germany supplied Japan the specification of cars that they wanted.

American car manufacturers will be blamed for not satisfying customer needs on critical factor of right hand drive cars.

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3 years ago
Which of the following is a way to use credit responsibly? Question 1 options: Paying only the minimum payment each month Unders
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Understanding the accounts interest rate
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3 years ago
Siva, Inc., imposes a payback cutoff of three years for its international investment projects. Year Cash Flow (A) Cash Flow (B)
Digiron [165]

Answer:

The payback period for Silva Inc. is 3 years. If considering only this method of evaluating projects, Silva Inc will invest in project A and dismiss project B.  

Payback period A=2,1539 years.

Payback period B= 3,0042 years

Explanation:

The payback period refers to the amount of time it takes to recover the cost of an investment. The payback period is the length of time an investment reaches a breakeven point.

<u>Cash Flow A:</u>

                $

I0= - 70.000

1=     28000 =    -42000

2=    38000 =    -4000

3=     26000 =    22000

Payback period= full years until recovery +

                             unrecovered cost beginning year/Cashflow  during year

Payback period A= 2  + (4000/26000)= 2,1539 years.

<u>Cash Flow B:</u>

                $

I0=   -80000

1=       20000 =   -60000

2=       23000 =   -37000

3=       36000 =    -1000

4=       240000 =   239000

Payback period B= 3 + 1000/240000= 3,0042 years

<u>The payback period for Silva Inc. is 3 years. If considering only this method of evaluating projects, Silva Inc will invest in project A and dismiss project B.  </u>

<u></u>

7 0
3 years ago
At the lowest price for jeans, consumers will demand the _____ jeans, and producers supply the _____ jeans.
katrin [286]
At the lowest price for jeans, consumers will demand the most jeans, and producers will supply the least jeans.
3 0
3 years ago
Read 2 more answers
Consider the following linear program: Min s.t. 8X + 12Y 1X + 3Y &gt;= 9 2X + 2Y &gt;= 10 6X + 2Y &gt;= 18 A, B &gt;= 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.

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

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
3 years ago
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