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Essay / Research Paper Abstract
A 3 page research paper that discusses whether or not a team of researchers selected the right statistical tools for their study. The writer defines and discusses t-tests. Bibliography lists 5 sources.
Page Count:
3 pages (~225 words per page)
File: D0_khttest.rtf
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Unformatted sample text from the term paper:
patients suffering from psoriasis. In this double-blind study, patients either received infusions of infliximab or a placebo (Reich, et al, 2005). At weeks 10 and 24 of the trial,
statistical tests, specifically Pearson tests, were employed n order to compare the proportions of patients responding to treatment. Furthermore, continuous response parameters were analyzed utilizing a two-sample t test on
van der Waerden normal scores, with normal scores derived from all ranks (Reich, et al, 2005). The following examination of these statistical tools looks at whether or not these particular
methods were the most appropriate means for evaluating this study data. (As this writer/tutor did not possess any personal knowledge on which to formulate an opinion on this question, additional
sources had to be consulted.) First of all, Pearsons chi-square test is a statistical procedure that is used to find the difference between observed and theoretical frequency (Pearsons, 2005). Using
Pearsons chi-square as a means to test the "goodness of fit" for the study design suggests that the researchers employed this statistical tool to determine whether or not the observed
frequency distribution differed from the theoretical distribution (Pearons, 2005). Considering this definition, it would appear that the researchers applied this statistical tool in an appropriate manner. Before collecting their
data, researchers determine an alpha level, which is basically "how willing they are to be wrong when they state that there is a relationship (in the case of correlation research)
or difference (in the case of a t-test) between the two variables they measured" (Siegle, 2005). Furthermore, Siegle (2002) states that a common alpha level is .05. In other words,
this statistic indicates that the researchers acknowledge from the onset of their research that their findings may not always reflect experience in the general population and an alpha level of
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