Sample Essay on:
Assessing Statistical Significance Using Demographics

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Essay / Research Paper Abstract

This is a 3 page paper that provides an overview of statistical significance. Demographic data is used to help determine correlations. Bibliography lists 0 sources.

Page Count:

3 pages (~225 words per page)

File: KW60_KFstats5.doc

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Unformatted sample text from the term paper:

questions such as whether or not the wealthy are significantly more opposed to universal health care in the United States than the poor, or whether women are more likely than men to be mugged, just to use two examples. This paper will explore a sample statistical analysis in order to demonstrate how revealing demographic data can be. The question posed in this statistical analysis is "Do you favor or oppose the death penalty for persons convicted of murder"? This question is asked in conjunction with five demographic questions intended to reveal any meaningful correlations between a particular demographic trait and favoring or opposing the death penalty. The five demographic traits measured in this study are the respondents race, sex, self-reported social class, the degree to which the respondent attends religious services, and his or her marital status. A total of 671 individuals responded to the instrument. Of those, 543 were white (80.9% of the total), 76 reported themselves as black (11.3%) and 52 as "other". Of those numbers, 73.3% of white respondents favored the death penalty, while only 34.2% of black respondents favored it. 73.1% of "other" respondents favored the death penalty. Within the subset of those respondents who favor capital punishment, 86.1% are white, and just 5.6% are black. In regards to sex, 53.2% of respondents were female, and 46.8% were male. Of these, 75.5% of males favored the death penalty while 63.0% of women were in favor. Within the demographic of those who favor capital punishment, 51.3% were male and 48.7% were female. Class is something of a subjective measurement, and thusly the survey instrument relied on self-reporting in order to place respondents in one of several categories: lower class, working class, middle class, or upper class. Just 4.3% of respondents identified as lower ...

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