The correct option is A. a certification mark.
<h3>What is a certification mark?</h3>
A "certification mark" refer to any word, name, symbol, device or their combination that is used by a person other than its owner.
It is a special mark that is created for a purpose uniquely different from that of an ordinary service mark or trademark.
Here, Jim can register his character's name as a certification mark to get the unique identity.
Learn more about the certification mark here-
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Answer: B. a 2 point capital gain
Explanation:
Municipal Bonds have to be amortized using the straight-line method and this applied to both newly issued or bonds being traded at a premium.
The bond in question is trading at 105 and so has a 5 point premium which needs to be amortized at 1 point a year for 5 years. As it was bought after two years, the amortization was 2 points which means the cost of the bond should be;
105 - 2 = 103
Yet it was sold for 105. The gain is therefore
= 105 - 103
= 2 point capital gain
In this situation, it would be a breach of contract if G<span>nome would require </span>Omkara<span> to pay a higher price than the agreed price. They have already contracted the price and they both agreed to it. </span>Omkara<span> can enforce her right to the contract claiming that she will only pay the $50000 because it is what they have agreed upon.</span>
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.