Answer:
e. all of the above
Explanation:
Just like inn games, all the features enumerated in the options apply.
Specifically, actions by players determine outcomes. Also, players employ strategies to obtain desired results.
Answer:
Explanation:
There are many things in life that will seem overwhelming due to the how large and complex all of the data may be. The best way to get through these moments is to divide the task into smaller parts and sit down and dedicate time to it. For such a textbook divide the total amount of pages and read a little bit at a time, take breaks, reflect on what you have read, answer practice questions, and continue to the next group of pages. You will see after getting started that it is not as overwhelming anymore.
Answer and Explanation:
The Journal entries are shown below:-
Interest expense Dr, $316,800
Premium on bonds payable Dr, $19,200 ($96,000 ÷ 5)
To Interest payable $336,000 ($4,800,000 × 7%)
(Being interest expense and bond premium amortization is recorded)
Here we debited the interest expenses and premium on bonds as it increased the expenses and we credited the interest payable as it also increased the liabilities
Assume a project has normal cash flows. According to the accept/reject rules, the project should be accepted if the: IRR exceeds the required return.
Internal rate of return (IRR) is a metric used in financial analysis to estimate the potential profitability of an investment. The IRR is the discount rate that drives the net present value (NPV) of all cash flows to zero in discounted cash flow analysts. This suggests that an expected angel investment IRR of at least 22% is considered a good IRR. The higher
the project's projected IRR and the higher the amount above its cost of capital, the more net cash the project brings to the firm. So in this case the project appears to be profitable and management should go ahead with it.
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social media data may be considered a form of secondary data.
<h3>Why can we consider social media data a form of secondary data?</h3>
There are many different categories of data that may be used in data analytics. For instance, the contrast between qualitative and quantitative data is frequently used. You might also separate your data depending on aspects like sensitivity.
For instance, is it widely known or is it really private?
The source of the data is perhaps the most basic distinction between various forms of data. Are they, specifically, first-party, second-party, or third-party data? These essential data sources all contribute in some manner to the data analytics procedure.
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