Here is the synopsis of our sample research paper on Statistical Assessment. Have the paper e-mailed to you 24/7/365.
Essay / Research Paper Abstract
This 7 page paper examines statistical data provided by the students cornering the satisfaction levels with sentence, legal services and the criminal justice system. The paper is written in two parts. The first part demonstrates the use of a t-test, looking at a potential correlation of the expressed level of satisfaction with the legal services and the sentence received. The use of the t-test is discussed along with an explanation of why a z-test was not used and why a sample is used in research. The second part of the paper uses least squares regression analysis, ploting variables on graphs to assess correlation, looking at the equations, slopes, R2 and y intercept points with the results discussed. The bibliography cites 3 sources.
Page Count:
7 pages (~225 words per page)
File: TS65_TEstatcriminal.doc
Buy This Term Paper »
Unformatted sample text from the term paper:
is a direct relationship between the expressed level of satisfaction with the legal services and the sentence received. In order to undertake a statistical test, it is also necessary
to state the null hypothesis; this is the default position which will be the case if the initial assertion (also referred to as the alternate hypothesis) is proved false (Curwin
and Slater, 2006). The null hypothesis is; H0 There is not a positive relationship between the expressed level of satisfaction with the legal services and the sentence length The hypothesis
test will be undertaken with a paired sample t-test is to be undertaken with a 0.05 significance level. A T-test will be used as this is a test which will
allow for there to be the comparison of the means of two different groups. In the case of an assessment for satisfaction it is possible that there will be out
scores outside the expected area both above and blow the expected areas, so directionality indicates this would be a two tailed test. it is a paired test as the scores
that each respondent gives for both dataset are being compared. Before calculating the test statistic the next stage is to determine the critical level, this the score against which
the test statistic will be assessed to determine whether to accept or reject the null hypothesis. The test statistic can be reread off of tables, with the score depending on
the degrees of freedom. The degrees of freedom in a two tailed t-test are the number of paired samples less 1. There are 25 pairs, so the degrees of freedom
are 24. The critical value for the 0.05 level of significance is 2.06391. The next stage is to calculate the test statistic. This has been calculated in excel using
...