Salary Dependence on Social Factors - Report Example

The aim of the experiment aimed at testing whether an the wage of an individual depends on level of education, sex, work experience, his/herrace, the occupation one is in, the sector, the marital status, where one lives and whether one is a member of the union. Data of 534 individuals each with 11 variables was collected and analyzed and a report prepared. Based on these findings, the wage depends on the years spend in education, the level of experience, if one is a member of the union, the occupation category, the age, race and the sector one is at 95% level of confidence. And the equation is as below. W= -.033 + .0147Tu + .285 YRSED + .033WORKEXP .087SECTOR -.058JOB + .475AGE + .077RACE. Introduction In work fields, it is the order of the day that you can work with a person and end up being paid very little as compared to what he/she is getting at the end of the pay period (Mailu, S 2000). This is caused by many factors but majority tend to thing that, the level of education, sex, work experience, his/her race, the occupation one is in, the sector, the marital status, where one lives and whether one is a member of the union, has a lot to do with the remuneration package one gets. In view of this, the above project was carried out to determine whether this is true and if not what really matters in such situations. Data was collected and analyzed according to Jacob, C (1998). The way a certain group is represented in the sample determines a lot how that groups will behave and also how their findings will be generalized (Agnes, W 2002). In this case regression analysis is used to determine if the coefficients used are significant or not. According to Smith (2000), regression tells more of how a certain factor contributes towards the other. Results Table 1 WAGE AGE Mean N Std. Deviation young 7.41 183.00 4.85 middle age 9.90 260.00 4.88 advanced age 9.76 91.00 5.67 Total 9.02 534.00 5.14 Table 2 WAGE WRKEXP Mean N Std. Deviation 0-10 8.794 352.000 5.068 21-30 9.541 84.000 5.189 31-40 10.415 61.000 5.818 41-50 7.819 35.000 4.106 51-60 6.500 2.000 0.707 Total 9.024 534.000 5.139 Table 3 WAGE JOB Mean N Std. Deviation management 12.70 55.00 7.57 sales 7.59 38.00 4.23 clerical 7.42 97.00 2.70 service 6.54 83.00 3.67 proffesional 11.95 105.00 5.52 other 8.43 156.00 4.25 Total 9.02 534.00 5.14 Table 4 WAGE SECTOR Mean N Std. Deviation other 8.873 411.000 5.262 manufacturing 9.604 99.000 4.971 construction 9.221 24.000 3.362 Total 9.024 534.000 5.139 Table 5 WAGE RACE Mean N Std. Deviation other 8.06 67.00 4.08 Hispanic 7.28 27.00 5.52 white 9.28 440.00 5.23 Total 9.02 534.00 5.14 From tables 1-5 above, the whites earn a bit high than the other races although the difference in wage is not significant. The same applies to the gender; males are a bit high in wage than the females with a difference of 2.11 which is statistically different. Union members earn better than their counterparts who are not union members and have a significant difference of 2.16. In the different job categories, those working in management earn better followed by those that are professionals although the difference is not statistically significant. However, management and professional earn differently from the others categories and the various mean differences are statistically different at 95% confidence level. Clerical jobs are the poorly paid. Experience contributes much as well as the level of education one has attained. Furthers, those that have spend many years in school earn better than those that have spent a little while in school. The mean difference between the various groups is as follows; between 2-9 and 16-18 years, the difference is 5.99 while the difference between 9-15 and 16-18 is 2.22. This difference is significant statistically. In the different sectors, the mean difference is not much different and the statistical difference is not significant as much. However, the sector one works in has a significant contribution as far as the overall wage is concerned. The mean difference of 1 between the married and un-married is significant with p Read More