True Often, a career in Family and Community Services may be entered and followed with only certification.
f. What is considered a license, but is not necessarily a degree?
certification
The answer to the question of whether the export subsidy would make domestic producers sell steel to domestic consumers and sell the rest abroad is:
- False because the domestic producers would not want to sell at a lesser price than what they would have sold abroad.
<h3>What is Export Subsidy?</h3>
This refers to the government policy which is meant to discourage export of goods with the aim of regulating the economy which usually leads to the increase in the amount of customer surplus in the market.
With this in mind, we can see that the export subsidy has to do with the increase in domestic price whereby there is a higher cost for exports for producers.
Read more about export subsidy here:
brainly.com/question/7193712
The first step in making a choice is to define the issue at hand. When making judgments, related costs and benefits should be evaluated. When making judgments, extraneous costs and advantages should be overlooked.
Answer:
insurance is important in that it helps you indemnity the losses occured after the risk occurrence
Explanation:
insurance ensures that you are covered from all period and hazards
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.
