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tia_tia [17]
3 years ago
11

What is one of the goals of ethics training? question 6 options: 1) to completely eliminate any chances of misconduct. 2) to ide

ntify key risk areas employees will face. 3) to make the company look good to stakeholders. 4) to comply with legal requirements. 5) to train employees on how to address every ethical situation they encounter?
Business
1 answer:
pshichka [43]3 years ago
7 0
I believe the answer is 4. The purpose of ethics training is to enable employees to identify and deal with ethical problems developing their moral intuitions which are implicit in every day choices of action. That is to train the employees on how to address every ethical situation they encounter in daily operations of the organization. This involves learning how to solve ethical dilemmas, identifying causes of unethical behaviors and learning how to develop a code of ethics among others.
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A chemical manufacturer is setting up capacity in Europe and North America for the next three years. Annual demand in each marke
Yuri [45]

Answer:

Explanation:

The two choices under consideration are building 4 million units of capacity in North America

YEAR                         1                    2                           3  

Production and Sales 4,000,000.00   4,000,000.00   4,000,000.00  

Variable cost @ 10  40,000,000.00   40,000,000.00   40,000,000.00  

Divide by:

Conversion Factor  1.33                         1.33                     1.33  

Multiply by:

Growth(.1*.5)+(-.05*.5) 1.025                        1.025^2                  1.025^3  

NET CASHFLOWS  30,827,068.00   31,597,744.00   32,387,688.00  

DCF @ 10%     0.909090909           0.83                  0.75  

Present Values  28,024,607.27   26,113,838.02   24,333,349.36  

NET TOTAL COST 78,471,794.65  

or building 2 million units of capacity in each of the two loca-tions. Building two plants will incur an additional one-time cost of $2 million.

YEAR                  0            1                      2                              3  

Production and Sales       4,000,000.00      4,000,000.00   4,000,000.00  

Variable cost @ [(10+9)/2] 38,000,000.00  38,000,000.00   38,000,000.00  

Additional cost  2,000,000.00      

Conversion Factor     1.33     1.33                   1.33                       1.33  

Growth(.1*.5)+(-.05*.5)    1.025               1.025^2              1.025^3  

CASHFLOWS  1,503,759.40  29,285,714.29  30,017,857.00  30,768,304.00  

DCF @ 10%       1           0.909090909    0.826446281 0.751314801  

Present Value 1,503,759.40  26,623,376.62   24,808,146.28   23,116,682.19  

NET TOTAL COST = 76,051,964.50  

DECISION: The manufacturer should build 2 plants in 2 different locations because it gives a lower net present cost

<u>At what initial cost differential from building the two plants will the chemical manufacturer be indifferent between the two options?</u>

The difference in both options came from the fact that variable cost is lower in Europe and building the plant is more expensive. If there is no increase in cost and variable cost is same everywhere, then both options will be same.

5 0
3 years ago
1. A manager uses the following equation to predict monthly receipts: Y=450+10t time in weeks and y = receipts.) What is the for
Degger [83]

Answer:

1. 690

2. Do not reject the null hypothesis.

Explanation:

1. Month       t

At the end of Feb    6

March                       4

April                          4

May                           4

June                          2

14th of July               2

Total                         24

Therefore on 14th July, t = 24

Forecast: Y = 450+10t = 450 + 10*24 = 450+240 = 690

2. Options are <em>"a. Reject the null hypothesis. b. Do not reject the null hypothesis. c. Take a larger sample. d. Reserve judgment"</em>

In general, if test statistic is more extreme than the critical values at given level of significance then we reject the null hypothesis otherwise we do not reject the null hypothesis.

Here, test statistic for the given two tailed test is Z = -1.07 and critical value at level of significance α = 0.5 is ± 1.96 . Since -1.96<Z<1.96, we can say that we do not reject Null Hypothesis as the test statistic is not extreme than the critical value at given level of significance.

7 0
3 years ago
A low credit score can lead too?
oksian1 [2.3K]

Answer:

Dept

you can loose errythang

no loans

Explanation:

3 0
3 years ago
Read 2 more answers
The following labor standards have been established for a particular product: Standard labor-hours per unit of output 9.9 hours
topjm [15]

Answer:

-$30,250 favorable

Explanation:

labor efficiency variance = (standard quantity - actual quantity) x standard labor cost

  • actual quantity = 7,700 hours
  • standard quantity = 9.9 hours x 1,000 units = 9,900
  • standard labor cost = $13.70

labor efficiency variance = (7,700 - 9,900) x $13.70 = -$30,250 favorable variance

the variance is favorable, because less hours were actually used than forecasted

5 0
3 years ago
An example of fast tracking a project schedule would be to overlap the design and production phases for a design-to-production p
Alex17521 [72]

Answer:

True is the correct answer.

Explanation:

3 0
4 years ago
Read 2 more answers
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