Answer:
4,700 shares
Explanation:
The computation of the number of shares of common stock outstanding at the end of the period is shown below
= Beginning shares + issued shares - repurchase shares + reissue shares
= 2,000 shares + 3,000 shares - 500 shares + 200 shares
= 4,700 shares
We applied the above equation to find out the number of shares outstanding at the end of the year
Answer:
More , High ( D )
Explanation:
As far as GOODS (compared to services) are concerned, there is More opportunity to correct problems due to High customer contact.
and this is because when dealing with Services instead of Goods the direct customers of services are people hence the level of accessibility to enable the prompt correction of problems that might arise is very high and its faster as well to do that
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.
The value of cars produced by a Japanese company are part of United States Gross Domestic Product (GDP) as long as the cars are produced in a factory located within U.S. territory.
The reason why is that GDP includes the final value of all goods and services produed within a country, during a specific period of time (usually a year). If the cars are produce in U.S. territory, they are counted as part of U.S. GDP, even if the company is from Japan or any other country.
