Answer:
Opportunity costs.
Explanation:
Investing in stocks depicts Barney's opportunity cost of money.
The opportunity cost is the money or funds held up by an individual instead of investing it in other businesses or ventures to yield interests.
Answer: Forecasting is exclusively an objective prediction.
Explanation: In simple words, the process of predicting any future event by analyzing the past data is called the forecasting. The factors that an analyst takes from the past could be both qualitative and quantitative.
The forecasting process is done for a specified period and not for infinity. In other words, it is the study of trends and predicting how these trends could change in the future.
Hence from the above we can conclude that the correct option is B.
<span>Because the ego is the rational part of the personality, it sometimes plays referee between the wishes of the Id and the Superego. The ego or your ego is referred to be your conscious mentality and it is also your perception of your own self.</span>
Answer:
Discount on bond payable
Explanation:
since in the question it is mentioned that the company has issued the common stock warrants also the cash proceeds is more than the sum of the fair value + face value
So we presume that the bond are to be sold at the discount
Therefore the excess should be reported as the discount on bond payable
Answer:
True
Explanation:
The eleven categories are
- Visualization : for better understanding of data
- Argumentation: visualize the structure of complex arguments using graphs
- eParticipation : encourages participation in social and political process
- Opinion mining : interpret public comments written in different application
- Simulation :guides towards making decision concerning future actions
- Serious games:Train users
- Policy making : to help in policy making
- Persuasive tools : to convince users for change of attitude
- Social network analysis : analyse social network users behavioral pattern
- Big data : supports helps in processing large data
- Semantics and linked data: analyzing and publishing large data