Answer:
d. 16% - buy
Explanation:
R = (D1 / P0) + g
Where, R=Expected Return, P0 = Current Market Price = $40, D1=Expected Dividend=$, g = Expected Growth Rate = 11% = 0.11
Expected Return = R = ($2/$40) + 11%
R = 0.05 + 0.11
R = 0.16
R = 16%
Expected Return is higher than the required return of 12%. Hence, it should be bought (it is expected to give higher return than required)
Answer:
Politics
Public relations
Explanation:
There are 4 styles of learning namely:
- Sensing uses their senses to understand the world. They verify first for themselves them they believe
- Intuitive perceives inner meaning in how people relate with each other. Usually they don't just take what they see but look for deeper significance.
- Thinking the individual looks at facts and verifiable information. Thinks in terms of cause and effect.
- Feeling is based on like and dislike. They don't use logic but rather implied meaning of actions.
So for a intuitive-feeling style are those who continuously seek for self expression. They are not comfortable with routine tasks. Do not like following set procedures but act intuitively.
These set of people will do better on politics of public relations
Answer: LAND 3.227,680
BUILDING 806,920
LAND IMPROVEM 134,000
Explanation:
Land 4 0.8 $ 3.227,680
Building 1 0.2 $ 806,920
5 $ 4.034,600
Land Improvement
Parking Lot $ 88,000
Lanscaping $ 46,000
Total $ 134,000
Computation Of Cost Of Land And Building
Purchase Price $ 4.000,000
Add:
Title Insurance Cost $ 22,000
Legal Fees $ 8,000
State Transfer Fees $ 4,600
Demolition of old building $ 310,000
Land Clearing Expenses $ 85,000
Less: Salvage Material $ -9,000
Total Cost Of Land $ 4.420,600
Answer:
C.
Explanation:
Data mining is the process of extracting information from the company´s various databases and reorganizing it for porposes other than what the databases were originally intended for.
It provides a means of extracting previously unknown, predictive information from the base of accessible data in data warehouse.
Data mining process is different for different organizations depending upon the nature of the data and organization.
Data mining tools are sophisticated, automated algorithms to discover hidden patterns, correlations, and relationships among organizational data.
