Answer:
2015 FAT= 4,168323393
2016 FAT= 3,87219893
Explanation:
2015 2016
sales plant 34209 38826
propierty 15768 17111
net sales 12580 13392
propierty net 3018 3899
FAT=Net Sales/Average Fixed Assets
2015 FAT=12580/3018
2018 FAT=13392/(3899-3018)
2015 FAT= 4,168323393
2016 FAT= 3,87219893
Answer: B. Fundamental weighting.
Explanation:
A fundamentally weighted index refers to a type of equity index whereby the components that are chosen based on the fundamental criteria like the dividend rates, book value, revenue, dividend rates, etc.
Fundamental weighting is the index weighting which results in portfolio weights shifting away from securities that have increased in relative value toward securities that have fallen in relative value whenever the portfolio is rebalanced.
Answer:
Y = 300
government multiplier 2
output demanded increase by 20
If income tax is applied:
Y = 272.72
multipliers: 2.253775
increase 22.53775 billons
As disclosure it has a larget effect when the income tax is levied based on income rather than a flat rate.
Explanation:
DI = Y - 100
C = 30 + 0.6(Y - 100)
C = 30 - 60 + 0.6Y
C = 0.6Y - 30
Y = C + G + I
Y = (0.6Y -30) + 120 + 30
Y = 120 / 0.4 = 300
C = (0.6)300 - 30 = 150
With C we solve for the multiplier:
150/300 = 0.5
1 / (1 - 0.5) = 2
10 x 2 = 20
If variable that:
C = 30 + 0.6 (0.75Y)
C = 30 + 0.45Y
Y = 0.45Y + 120 + 30
Y = 150/.55 = 272,72
C = 30 + 0.45Y = 152,72
Propensitivity to consume:
152.72/272.72 = 0,5563
multiplier:
1 (1 - PMC) = 2.253775073
10 nillon will icnrease x 2.25377 = 22.54 billons
D notify the creditor and see if it can be changed and /or modified
A data warehouse is an integrated collection of data that can include seemingly unrelated information, no matter where it is stored in the company.
An enterprise data warehouse (EDW), sometimes referred to as a data warehouse (DW or DWH) in computing, is a system used for reporting and data analysis and is regarded as a key element of business intelligence.
data warehouse DWs serve as a central repository for combined data from a variety of sources.
They keep both recent and old data in a single location that is utilized to provide analytical reports for employees across the whole company.
The operational systems upload the data that is kept in the warehouse (such as marketing or sales).
Before being used in the data warehouse for reporting, the data may go via operational data storage and require data cleansing for extra activities to ensure data quality.
Learn more about the data warehouse here:
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