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iogann1982 [59]
3 years ago
8

A customer tells his broker "Sell my position in ABCD (a NASDAQ stock) and use the proceeds to buy EFGH (another NASDAQ stock)."

Business
1 answer:
MrMuchimi3 years ago
7 0

Answer: C. purchase of EFGH separately; and the sale of ABCD separately

Explanation:

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Kodera Technology is considering introducing a new product, which will require buying new equipment for a monthly payment of $5,
valina [46]

Answer:

417 units

Explanation:

The formula to compute the break-even point in units is shown below:

= (Fixed expenses ) ÷ (Contribution margin per unit)  

where,  

Contribution margin per unit = Selling price per unit - Variable expense per unit  

So, the break-even point in units is

= ($5,000) ÷ ($20 - $8)

= $5,000 ÷ $12

= 417 units

So, the 417 units is to be sold for break-even

6 0
3 years ago
A study of college graduates involves three variables: income level, job satisfaction, and one-way commute times to work. List s
pickupchik [31]

Answer:

One-way commute times may be long because affordable housing is distant from the job.

A working spouse could affect all three variables.

People might be very satisfied with their career as long as the income is high.

People may have a career following their passion, but have a low income or a long commute.

Explanation:

As we know that the study in college for graduation generally includes the three types of variables i.e. level of the income, job satisfaction and the one way commute

Now there are some ways that may be cofounded such as the one way commute could belong as if the house is far from the job, for the working spouse the above three variables could be impacted, when the income of the people are high they feel very satisfied and they follow their passion but they have the low income or long commute travelled at the same time

7 0
3 years ago
The Federal Reserve carries out open-market operations, buying $2 million worth of Treasury Bills from banks. This action increa
klemol [59]

Answer:

67%

Explanation:

Money supply = Money multiplier * Deposit worth

3 = Money multiplier * 2

Money multiplier = 3/2

Money multiplier = 1.5

Now, Money multiplier = 1 / Reserve ratio

1.5 = 1 / Reserve ratio

Reserve ratio = 1/1.5

Reserve ratio = 0.6667

Reserve ratio = 67%

So, the percent of deposits the banks hold as reserves is 67%

7 0
3 years ago
The student center on campus has burritos, bagels, or burgers for lunch, and they all cost the same. you decide to have a burger
Liula [17]

The correct option is your enjoyment of the bagel

The student center on campus has burritos, bagels, or burgers for lunch, and they all cost the same. You decide to have a burger today, but if they were out of burgers, you would have bought a bagel. Your opportunity cost is your enjoyment of the bagel.

4 0
3 years ago
Larry Ellison starts a company that manufactures high-end custom leather bags. He hires two employees. Each employee only begins
Degger [83]

Answer:

12.55 days

Explanation:

<em><u>Provided information </u></em>

Number of employees 2

Average production time=1.8 days

Standard deviation=2.7 days

Inter-arrival time= 1 day

Coefficient of variation= 1 day

Standard deviation of inter-arrival time= 1 day

The coefficient of variations

<u>Inter-arrival coefficient of variation </u>

C_{vi}=\frac {\sigma}{T} where \sigma is standard deviation of inter-arrival time, T is inter-arrival time and C_v is coefficient of variation of inter-arrival time

C_{vi}=\frac {1 day}{1 day}=1

<u>Production time coefficient of variation </u>

C_{vp}=\frac {2.7}{1.8}=1.5

<u><em>Total utilization time </em></u>

U=\frac {T}{n*T_i} where T is the time of production, n is number of employees, U is utilization, T_i is inter-arrival time

U=\frac {1.8}{2*1}=0.9

Therefore, utilization time by 2 employees is 0.9

<u>Expected average waiting time </u>

T_e=(\frac {T}{n*T_i})*0.5(C_{vi}^{2}+C_{vp}^{2})*(\frac{U^{\sqrt{2(n+1)}-1}}{1-U})

Where T_e is expected average waiting time and the other symbols as already defined

Substituting 1.5 for C_{vp}, 1 for C_{vi}, 0.9 for U, 2 for n, 1 for T_iand 1.8 for T

T_e=(\frac {1.8}{2*1})*0.5(1^{2}+1.5^{2})*(\frac{0.9^{\sqrt{2(2+1)}-1}}{1-0.9})

T_e=0.9*1.625*8.583709=12.55367 days  and rounding off to 2 decimal places we obtain 12.55 days

Therefore, expected duration between order received and beginning of production is approximately 12.55 days

7 0
3 years ago
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