Footnote to Youth Reaction Paper Essay Essay Example

Footnote to Youth Reaction Paper Essay Essay Example Footnote to Youth Reaction Paper Essay Essay Footnote to Youth Reaction Paper Essay Essay â€Å"The young person is the hope of fatherland. † It has ever been said that we. the young person. is the hope of our state. This has been the outlook of about everybody in the society. I. myself had this outlook strongly rooted in my head before I had read the narrative. â€Å"Footnote to Youth. † Yes. the young person could perchance be the hope of our state or even of the universe. As many have said. we are originative. dynamic. good minds. fantastic actors and a batch more. All these positive things besides have matching negative ideas from those who don’t believe in our capacity. They say we are lazy. dependant. coward. apathetic and a batch more. : I think it is neither laziness nor dependance that drives us youth into person useless in the society. We neer wanted to go merely a piece of dirt of class. We ever have wanted to make something extraordinary non merely for ourselves’ interest. We have ever wanted to be something the older and younger coevals would be proud of. For me. the quandary is non within us. It is on how our parents and the people around us treat us and affects us. I admit our heads are non every bit weak as the heads of the small kids. We can non be easy manipulated. But we’re non besides every bit fixed-minded as the older people. We need guidance. How can we be the hope of the state if our parents themselves don’t lead us to the right way? How can we be the hope if our parents themselves don’t believe that there is existent hope from within us? How can we be the hope if our parents themselves can non rectify the errors we do? Just like Dodong and Blas. we are preoccupied of the thought that we can make everything we want to ; that we are ready to make the things that the older people can ; that what we think is ever right. Yes we can make everything if we truly insist to but without the counsel of our parents or the older people who know better. we will neer cognize if we are doing the right stairss toward the right route. They hold the key that runs the engine of hope within the young person. I still believe that we. the young person. is the hope of the fatherland but this will merely come to reality if the older coevals. particularly our parents cognize how to convey out the best in us.

Cluster Analysis

Cluster Analysis Cluster analysis is a statistical technique used to identify how various units like people, groups, or societies can be grouped together because of characteristics they have in common. Also known as clustering, it is an exploratory data analysis tool that aims to sort different objects into groups in such a way that when they belong to the same group they have a maximal degree of association and when they do not belong to the same group their degree of association is minimal. Unlike some other statistical techniques, the structures that are uncovered through cluster analysis need no explanation or interpretation – it discovers structure in the data without explaining why they exist. What Is Clustering? Clustering exists in almost every aspect of our daily lives. Take, for example, items in a grocery store. Different types of items are always displayed in the same or nearby locations – meat, vegetables, soda, cereal, paper products, etc. Researchers often want to do the same with data and group objects or subjects into clusters that make sense. To take an example from social science, let’s say we are looking at countries and want to group them into clusters based on characteristics such as division of labor, militaries, technology, or educated population. We would find that Britain, Japan, France, Germany, and the United States have similar characteristics and would be clustered together. Uganda,  Nicaragua, and Pakistan would be also be grouped together in a different cluster because they share a different set of characteristics, including low levels of wealth, simpler divisions of labor, relatively unstable and undemocratic political institutions, and low technological development. Cluster analysis is typically used in the exploratory phase of research when the researcher does not have any pre-conceived hypotheses. It is commonly not the only statistical method used, but rather is done in the early stages of a project to help guide the rest of the analysis. For this reason, significance testing is usually neither relevant nor appropriate. There are several different types of cluster analysis. The two most commonly used are K-means clustering and hierarchical clustering. K-means Clustering K-means clustering treats the observations in the data as objects having locations and distances from each other (note that the distances used in clustering often do not represent spatial distances). It partitions the objects into K mutually exclusive clusters so that objects within each cluster are as close to each other as possible and at the same time, as far from objects in other clusters as possible. Each cluster is then characterized by its mean or center point. Hierarchical Clustering Hierarchical clustering is a way to investigate groupings in the data simultaneously over a variety of scales and distances. It does this by creating a cluster tree with various levels. Unlike K-means clustering, the tree is not a single set of clusters. Rather, the tree is a multi-level hierarchy where clusters at one level are joined as clusters at the next higher level. The algorithm that is used starts with each case or variable in a separate cluster and then combines clusters until only one is left. This allows the researcher to decide what level of clustering is most appropriate for his or her research. Performing A Cluster Analysis Most statistics software programs can perform cluster analysis. In SPSS, select analyze from the menu, then classify and cluster analysis. In SAS, the proc cluster function can be used. Updated by Nicki Lisa Cole, Ph.D.