Answer
Hi,
In a developing nation, global factors that can influence the economy are political populism, global insecurity and the refugee crisis
Explanation
Making the explanation from 2016, this year was a challenging and difficult one for the global economy. First it was marked by political populism where President Donald Trump, Marine Le Pen and other influential figures took advantage weak economies and low productivity growth to talk on real wages and consumption.
The U.S presidential election being a major political event in 2016, the main issue was on the possibility of restoring the US as a global force for stability after Obama. Security issue raised due to inferior foreign policies and unwillingness to direct military forces in difficult regions.
Refugee was a major factor during 2016 where millions of individuals entered Europe seeking asylum. Many people were displaced in 2015 with countries like Germany, Hungary and Sweden receiving high inflows of refugee.
Good luck!
Answer:
This equals $12,256.70 (230 x $50.70 + 230 x $2.59)
Explanation:
The value of the portfolio on May 3 is the sum of the market value of the shares plus the sum of the returns in form of dividends to be received.
This value adds the weight of the investment obtained by multiplying the total shares held with its market price to the expected dividend returns on the given date.
Answer:
Margin of safety= $260,000
Explanation:
Giving the following information:
Sales= $485,000
Break-even point in dollars= $225,000
<u>To calculate the break-even point in sales dollars, we need to use the following formula:</u>
Margin of safety= (current sales level - break-even point)
Margin of safety= 485,000 - 225,000
Margin of safety= $260,000
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.
Answer:
D. Plan your trips to avoid rush hour traffic
