Answer: Formalization
Explanation:
Formalization could be defined as the length of an organization's policies, description and rules all spelt out for everyone to see. What makes up formalized structures or what we can know them for are their rules and regulations.
The jobs of these clerical and editorial employees are related to Formalization, they either form this rules out with the management or play the role of spelling it out(written) for all to see.
Answer: D. code of ethics
Explanation:
Cofe of ethics are the principles that a company use in guiding its employees so that they can know what is either right or wrong according to the company. Code of ethics is typically used to guide workers and to protect them from doing anything that may portray the company in a bad image.
Since Ms. Martinez did not know how to respond to Mr. Tanner's gift, she thought an answer might be in her company's code of ethics. This will show her if collecting such gift is right or wrong.
Answer: a) Financing Activity b) Investing Activity c) Investing Activity d) Financing Activity.
Explanation:
In the Cash Flow Statement there are 3 types of Activities, namely:
1) Operating Activity: This is for revenue and expenses that are accounted for calculation of Net Income.
2) Investing Activity: This includes the purchase and sale of assets: property, plant and equipment.
3) Financing Activity: This includes cash inflows from issuance of bonds, stocks and it also includes cash outflow from paying dividends to stockholders.
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.
Who ever is renting the place