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Arlecino [84]
3 years ago
6

ANSWER THESE QUESTION PLEASE !!

Business
1 answer:
kolbaska11 [484]3 years ago
3 0

Answer:

1. He recommends low cost funds connected to the S&P 500.

2. An American investor, and businessman.

3. It's the 500 most large publicly traded companies in the stock market.

4. There's tons of factors but it's usually the companies earnings and profits.

Explanation:

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Utility is an important aspect of market research because it can save a company lots of time and money.
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F.T

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Identifying groups of consumers (e.g., age, gender, income, education) who differ in their purchase behavior is the basic idea b
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INFLATION CROSS-PRODUCT An analyst is evaluating securities in a developing nation here the inflation rate is very high. As a re
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4 years ago
Unemployment describes the condition where
Serggg [28]

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Unemployment is defined as a situation in which a person wants to be employed but is not able to get a job.

Explanation:

Option C is the correct answer that perfectly describes unemployment. it occurs when a person is willing to work but due to recession or bad economic conditions is unable to find a job. it is commonly encountered by those people, who are looking for job in high number but due to non availability of job are unemployed.

5 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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