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lidiya [134]
3 years ago
6

Coca-Cola’s "Simply Orange" product division ships oranges from three different groves to five processing plants. Typically, how

many decision variables would be needed for the core distribution model? Additionally, how many combined supply and demand constraints would be needed?
A. 8 decision variables, 15 supply/demand constraints.
B. 15 decision variables, 8 supply/demand constraints.
C. 15 decision variables, 15 supply/demand constraints.
D. Cannot be determined.
Business
1 answer:
alexandr1967 [171]3 years ago
3 0

Answer:

B) 15 decision variables, 8 supply/demand constraints.

Explanation:

To determine the number of decision variables all we have to do is multiply the number of groves by the number of processing plants = 3 x 5 = 15. There are 15 possible ways that oranges can go from one specific grove to one specific processing plant.

To determine the supply/demand constraints we add the number of groves (supply) and processing plants (demand) = 3 +5 = 8

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According to the capital asset pricing model (CAPM), a capital budgeting project that has a beta equal to zero should be evaluat
lara [203]

Answer:

a. True

Explanation:

from the CAPM formula we can derive the statemeent as true.

Ke= r_f + \beta (r_m-r_f)

risk free = 0.05

market rate = 0.12

premium market = (market rate - risk free) 0.07

beta(non diversifiable risk) = 0

Ke= 0.05 + 0 (0.07)

Ke 0.05000

As the beta multiplies the difference between the market rate and risk-free rate a beta of zero will nulify the second part of the equation leaving only the risk-free rate. This means the portfolio is not expose to volatility

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3 years ago
A law enforcement agent is in charge of getting a writing sample from an uncooperative suspect. the agent puts the suspect in a
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3 years ago
You own a portfolio that has a total value of $235,000 and it is invested in Stock D with a beta of .82 and Stock E with a beta
Vlad1618 [11]

Answer:

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8 0
3 years ago
Role of microfinance institutions in national development
IgorLugansk [536]

Answer:

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7 0
3 years ago
The Bureau of Transportation Statistics Omnibus Household Survey is conducted annually and serves as an information source for t
sasho [114]

Answer:

a) For this case we have quantitative data since we have frequencies per each category.

b) For this case is better use percentages since we have frequency counts per each

c) First we need to calculate the total for the frequencies:

Total = 44+130+165+741= 1080 respondents

For this case we can calculate the percentage like this:

\% Strongly_{agree} = \frac{44}{1080} *100 =4.07\%

d) For this case the percentage of people who agree with allowing drivers of motor vehicles to talk on a hand-held cell phone while driving is just 4.07% and by the other hand the rest of the people correspond to 95.93%.

\frac{1036}{44}=23.55

The people who are NOT strongly agree is about 24 times greater than the peopl who strongly agrees.

So we can say that we don't have a general support for the claim.

Explanation:

For this case we have the following data given:

Number of respondents that they strongly agree with the statement = 44

Number of respondents that they somewhat agree with the statement = 130

Number of respondents that they somewhat disagree agree with the statement = 165

Number of respondents that they strongly disagree agree with the statement = 741

Part a

Do the responses for this statement provide categorical or quantitative data?

For this case we have quantitative data since we have frequencies per each category.

Part b

Would it make more sense to use averages or percentages as a summary of the responses for this statement?

For this case is better use percentages since we have frequency counts per each category so then not makes sense calculate averages for this case.

Part c

What percentage of respondents strongly agree with allowing drivers of motor vehicles to talk on a hand-held cell phone while driving?

First we need to calculate the total for the frequencies:

Total = 44+130+165+741= 1080 respondents

For this case we can calculate the percentage like this:

\% Strongly_{agree} = \frac{44}{1080} *100 =4.07\%

Part d

For this case the percentage of people who agree with allowing drivers of motor vehicles to talk on a hand-held cell phone while driving is just 4.07% and by the other hand the rest of the people correspond to 95.93%.

\frac{1036}{44}=23.55

The people who are NOT strongly agree is about 24 times greater than the peopl who strongly agrees.

So we can say that we don't have a general support for the claim.

8 0
3 years ago
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