APA RESEARCH PAPER

APA Research Paper

Statistical Summary

Statistical methods are applied in this study to check the statistical significance of the differences in the results due to geographical location. Chi square test statistic and the p values are observed in investigating the impact of geographical location on the part time work provided by students according to their gender and age group. In this summary the results of one sample t test are also observed to check the efficiency of sample means obtained. The distribution of the population is also analyzed according to the rate of employment through generating a 99 percent confidence interval.

The observed differences in student part time employment rates across provinces are demonstrated to lack statistical significance both in general and within basic demographic groups. Table 1 shows cross tabulation between demographic variables and geographical areas, including counts, percentages and expected counts under null hypotheses. The calculated test statistics produce insignificant p values (ranging from 0.2 to 0.99) for chi square significance test with 9 degrees of freedom in all cases.

The pattern of differences between the number of male students who work part time and those who don't does not differ statistically by the geographical location. In testing the hypotheses, the null hypothesis of no geographical difference cannot be rejected as the p value is 0.6007 with chi square value 7.35. Similarly, there is no statistical difference in the number of female students providing part time labor across the provinces. The p value is 0.6766 with chi square value 6.62 and hence the null hypothesis that there is not statistical difference between the part time working female students in different provinces cannot be rejected. Therefore, the results show that the number of students, who work part time, does not differ statistically for different geographical locations for both genders.

Null hypothesis that the part time work of students aged 15 to 19 years is different statistically for different geographical locations, i.e. provinces cannot be rejected as p value is 0.3086 with chi square value 10.54. Geographical location do not statistically influence the part time work of students aged 20 to 24 years because the p value in testing this null hypothesis is 0.4817 for chi square value 8.53. This means if we reject the null hypothesis, there is a 48% chance of type I error. In rejecting the null hypothesis that the students aged 25 to 29 who work part time has a ...