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IrinaK [193]
3 years ago
5

Using tools, operating vehicles, and repairing equipment all involve working with _____.

Business
2 answers:
Akimi4 [234]3 years ago
8 0

Answer:

things.

Explanation:

Using tools, operating vehicles, and repairing equipment all involve working with things.

dimulka [17.4K]3 years ago
5 0
Things is the answer I think
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In personal selling, the relationship must continue for a long time, as the salesperson responds to new requests for information
Ierofanga [76]

Answer:

Presentation

Explanation:

There are six steps in making a successful sale. The first step is prospecting and Qualifying and the last one is following up on the sale.

Personal selling is the sale in which the seller makes a face to face presentation to the customer. Sales jobs range from the salespeople at the clothing stores to the engineers with MBA's who design complex systems for the manufacturers. The importance of personal selling is that it provides a detailed explanation of the product and the sales message can be varied as per the interests of the prospective customer. The size of the personal sales force can be varied as per the needs. In the above question, the salesperson responds to new requests of the customer, which is an important part of personal selling.

4 0
3 years ago
What report shows which web pages get the most traffic and highest engagement?.
Lubov Fominskaja [6]

The web pages get the most traffic and highest engagement can be gotten from the all pages report.

<h3>All pages report</h3>

The All Pages report is used to display data using different engagement metrics such as <em>number of page views, average time on page, entrances, bounce rate, and exit rate</em>. Therefore the web pages get the most traffic and highest engagement can be gotten from the all pages report.

The All Pages report displays the top pages on your website based on traffic.

Find out more on all pages report at: brainly.com/question/405739

4 0
3 years ago
The US becomes a party to an international agreement under domestic law by all of the following except
pochemuha

Answer:

lv;ds

Explanation:

6 0
3 years ago
A company completes 21,000 units this month and has ending goods in process inventory of 3,000 units which are estimated to be 4
kolezko [41]

Answer:

Total cost of transferred to finished goods inventory  = $ 136,500

Explanation:

To value cost of transferred finished goods, we multiply the cost per equivalent unit of production (cost per EUP) by the the number of equivalent units (EUP) for each of the cost element.

So the value of the finished inventory, is determined as follows:

Value of inventory = cost per E.U.P × number of E.U.P

Direct Material = $5.00 × 21,000 =$ 105,000

Conversion cost = $1.50 × 21,000= $31,500

Total cost of transferred to finished goods inventory =

$ 105,000 + $31,500

= $ 136,500

5 0
3 years ago
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
4 years ago
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