Answer:
The answers are,
For A. It's the revenue recognition principle in which revenue is recognised when it is earned, now when the cash is realized.
For B. Its the matching concept in which all expenses related with earnings are debited against it to find the profit or loss.
For C. It's full disclosure principle in which all events in material nature has to be disclosed. We can say that going concern effects this as well, as if any event affect the continuity of an entity, it has to be disclosed as well.
For D. It's the historical cost principle in which you account the assets and expenses at the price you paid for them. When the value increases over time, you can reevaluate and adjust it.
Explanation:
Answer:
An example of a product going through scarcity is when heavy rainfall and flooding destroy crops because of which their supply is decreased, and because of this shortage their prices sky rocket or increase very fast.
Explanation:
It goes up because you are paying your payments therefore building credit by showing you are trustworthy..
Answer:
The options for this question are the following:
a. 1
b. 2
c. 0.5
d. 1.5
The correct answer is a. 1
.
Explanation:
Group analysis or grouping is the task of grouping a set of objects in such a way that the members of the same group (called a cluster) are more similar, in some sense or another. It is the main task of exploratory data mining and is a common technique in the analysis of statistical data. It is also used in multiple fields such as machine learning, pattern recognition, image analysis, information search and retrieval, bioinformatics, data compression and graphic computing.
Group analysis is not in itself a specific algorithm, but the task pending solution. Clustering can be done using several algorithms that differ significantly in your idea of what constitutes a group and how to find them efficiently. Classical group ideas include small distances between members of the group, dense areas of the data space, intervals or particular statistical distributions. Clustering, therefore, can be formulated as a multi-objective optimization problem. The appropriate algorithm and the values of the parameters (including values such as the distance function to use, a density threshold or the number of expected groups) depend on the set of data analyzed and the use that will be given to the results. Grouping as such is not an automatic task, but an iterative process of data mining or interactive multi-objective optimization that involves trial and failure. It will often be necessary to pre-process the data and adjust the model parameters until the result has the desired properties.
<em>Answer:</em>
<em>D) Microsoft world</em>
<em>Explanation:</em>
<em>Because Microsoft Publisher is a graphic design application that is similar to Microsoft Word but differs in the fact that its emphasis lies more on page layout and design, and less on word composition and formatting. </em>
