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This part of the index is necessary since it drills down, much like unemployment does, on the proportion of people that are likely or definitely in distress. Indeed, if the overall pool of income is $1,000,000, the amount of distress and problems will be much larger if there are 2,000 people versus 1,000 people. With the former, the amount of income per person is lower and it is higher with the latter one. Thus, it is important to measure the proportion and thus this should be part of the index ARC is using. Finally, looking at poverty rates is important to assess and know. It is necessary to include that in the performance metrics and what is looked at since people below a certain income level, by and large, will be putting up with a lot of distress and economic angst. Thus, this is a necessary and needed part of any distress index on part with what the ARC executed and the model that the GPRA led to them being delivered (OPM, 2017; ARC, 2017).
Answer to Question Two: The employer uses the index to communicate a fairly basic and necessary thing. Indeed, the ARC wants to and needs to get a measure of what is going on in terms of poverty, employment issues and income levels in their area. If one, two or all of those three measures shows that people are in distress, then that will indicate what is needed in terms of support and better outcomes for the people in the area. The results of the ARC's use of the index shows that a good number of the people in the area are in fairly bad shape. There is apparently about 778 distressed counties in the country and 165 of those are within the coverage area and jurisdiction of the ARC. Beyond that, the quartiles that those people inhabit very much trend towards the lower quartiles rather than the higher ones (OPM, 2017; ARC, 2017).
Answer to Question Three: In general terms, the ARC can use the measurements and readouts from the index to determine what level of service is needed as compared to what is currently…
Then values of x are plotted with the corresponding values of y. If the relationship between the variables is positive then a line drawn through the points will slope upward. This upward slope signifies that as the values for x increase the values corresponding values for y also increase. The opposite will be true for a negative relationship. In this case the line will slope downward and the correlation
Correlation of Parental Involvement and Academic Achievement History of the Parents' Involvement Growing Public Awareness Research Findings on Procedural Progress The Ongoing Effect Development of Academics under the Perspective of Parental Involvement The Montessori System The Philosophy behind the Educational System Linking Educational Materials to Practical Life Tools The Environment and Students' Achievements in Subjects Factors Affecting Parental Involvement Importance of Parental Involvement Effects of Parental Involvement Benefits of the Effects As educationalists search for ways to improve the modern educational system and to
The Difference between Causation and Correlation within the Context of DBA Doctoral Research Study Introduction For growth to occur it is important to understand the concepts of correlation and causation. Correlation can be differentiated from causation in general terms in that correlation assists in the prediction of future events since it indicates what is likely to occur. Causation on the other hand makes it possible to alter the future. Understanding the difference
The papillae are distributed throughout all areas of the tongue, and in adjacent structures of the palate and throat. Each taste bud contains 50 to 75 receptor cells that are always in different stages of a 7-10-day regenerative cycle" (Taste 2006:16). In addition, the tongue contains receptors that are more sensitive to sweet and salty stimuli, while those on the palate and throat are more responsive to sour and
Fama French Difference between FF and Markowitz Portfolio Theory Fama-French Three Factor Model Eugene Fama and Kenneth French designed Fama-French three factor model to describe stock returns. Fama -- French model uses three variables. They added two factors to CAPM: r = RF + ?3 (Km -- Rf) = bs . SMB + bv . HML + ? r = portfolio's rate of return, RF = risk-free return rate, and KM = return of the whole stock
Star Industries is a company that manufactures and markets windows in Western Australia. They are positioned at the high end of the market in an industry where most competitors bring in lower-priced windows from Asia, and Star trades on their premium branding and reputation. They have limited diversification, but sell throughout Australia, with manufacturing in WA and corporate headquarters in Sydney. One of the biggest challenges for a small or medium-sized