1 page SPSS Introduction to Quantitative Analysis: Confidence Intervals

Descriptive statistics

Descriptive statistics is a branch of statistics that use mathematical knowledge to describe basic features of data (Miller & Chambers, 2013). These basic features include measures of central tendency and measures of variation. For this research paper, we are using the longitudinal student to describe how descriptive statistics analysis is carried out. The two variables used in the data set is the number of AP sciences courses offered in schools and the number of AP mathematical courses offered in schools.

Table 1: Descriptive Statistics Summary Output

Table 1 shows a summary of descriptive statistics output for two variables namely number of AP science courses offered in schools and the number of AP mathematics courses offered in schools. From the analysis, the average number of AP science courses offered in a school is 2.39 with a standard error of 0.012 (Uda & Abe, 2016). The average number of AP mathematics courses offered in a single school is 1.83 with a standard error of 0.007. The variance for the number of AP sciences courses offered in a school is 2.302 while that of AP mathematical courses offered in schools is 0.940. The range between in the number of AP science courses offered in schools is given as 6 while the range for the number of AP mathematical courses offered in schools is given as 4.The implications to social change according to the results show that schools in this area offer more AP science courses as compared to the AP mathematical courses that are offered in the same schools. This information can be used to inform changes in education policy.

References

Miller, A. and Chambers, D. (2013).Descriptive Analysis of Flavor Characteristics for Black Walnut Cultivars. Journal of Food Science, 78(6), pp.S887-S893.

Uda, T. and Abe, T. (2016).A Descriptive Statistics on Coworking Spaces in Japan. SSRN Electronic Journal.