Quantitative Methods Sample


The sample academic paper presented below is an example of statistical Stakeholder Report. This report has been prepared by our expert which demonstrates to students our capability in compiling these reports. The expert has demonstrated the analysis of data and has presented suitable recommendations at the end. This research work revealed by our expert is a wonderful example of quantitative methods used in statistical analyses.



Table 1 reports the mean GPA, SAT score, and dollars spent per student.  The mean GPA for students in the sample was 3.40 with a standard deviation of 0.46 and a range of 2.09.  The mean SAT was 1245 (SD = 85.69) with a range of 330.  The mean dollars spent per student was $678.33 with a standard deviation of $477.63 and a range of $1550 (see Table 1).

N Range Minimum Maximum Mean Std. Deviation Variance Skewness
Statistic Statistic Statistic Statistic Statistic Statistic Statistic Statistic Std. Error
Dollars per Student 30 1550.00 .00 1550.00 678.3333 477.63486 228135.057 .393 .427
GPA 30 2.09 2.03 4.12 3.4047 .46365 .215 -.889 .427
SAT Score 30 330 1080 1410 1245.33 85.691 7342.989 .053 .427
Valid N (listwise) 30

Figure 1. Descriptive statistics for dollars spent per student, GPA, and SAT scores.


One way to increase the mean SAT would be to provide a SAT boot camp during the fall term that replaces student electives for three weeks. To decrease the variability in the range or standard deviation of GPA and SAT scores, targeted tutoring and interventions could be put in place for students who are performing below average.  This could both increase the central tendency and decrease variability.  These targeted strategies would raise the dollars spent per student for certain participants, which may also decrease the range on this variable.  A closer look at the correlation between dollars spent and GPA and SAT scores is advised to determine a direct link, and this analysis should be considered in conjunction with qualitative data collected from students to guide program customization.