Answer:
False.
You don't want to work day and night, or do something you are not willing to, just to get a bunch of money
Explanation:
Answer:
c. 120,000 shares
Explanation:

*Assumed purchase of treasury shares
$600,000
//
Note: The proceeds also must be increased (or decreased) by any tax benefits that would be added to (or deducted from) paid-in capital when the eventual tax deduction differs from the amount expense, the "excess tax benefit." Since that occurs when the stock price at vesting differs from the stock price at the grant date, the fact that the market price remained at $10 avoided that issue.
<span>The energy source in gas hydrates is methane, which is trapped inside of ice. Extraction of the methane may result in leakage of small amounts of methane. This is a potential global environmental problem because methane is a very potent greenhouse gas.</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.