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Essay / Research Paper Abstract
This is a 3 page paper that provides an overview of statistical analysis. Techniques are demonstrated via a hypothetical scenario involving unemployment in Philadelphia. Bibliography lists 4 sources.
Page Count:
3 pages (~225 words per page)
File: KW60_KFphstat.doc
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Unformatted sample text from the term paper:
listed below. Citation styles constantly change, and these examples may not contain the most recent updates. Unemployed in Philadelphia: A Statistical Analysis , 11/2010 VISIT
/aftersale.htm--properly! Statistical analysis is useful for many things. One of its foremost functions is to define the relationship between sets of data.
This is useful because the relationship can be quantitatively assessed to determine whether any correlation that exists is likely to be the result of random chance or is "significant". This
paper will use a hypothetical example of duration of unemployment experienced by Philadelphia citizens, considered in conjunction with age. This paper will assess the collected data and determine whether or
not a significant relationship exists between age and the duration of unemployment. This paragraph helps the student define some statistical terms and offer an overview of the data. The
data in this study was collected from a sample size of 50 workers who had received unemployment benefits, taking note of both their ages and the amount of time they
were on unemployment before finding more work. In analyzing this data, one looks for information such as the mean, or average, of the collected values, the median (mid-range value of
the set), and mode (most frequently occurring value); as well as more complex data such as standard deviation (the degree to which data in the set is spread), standard error
(standard deviation for a particular parameter of the data), and standard variance (measure of the dispersion of data within a particular sample) (Marsh, 1996). Such assessments are usually simply derived
from basic elements of the data set such as the count, sum, the range of data (difference between the largest and smallest values in the data set), and the minimum
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