Quantitative Analysis

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BUSN311: Quantitative Methods and Analysis

The qualitative data used in this analysis broke down the numbers between men and women employees of the American Intellectual Union (AIU). The demographics of men far outweighed the women in this job with 40 men verses the smaller number of 12 women. This particular data was collected to express the number of each gender both male and female employees. The results clearly demonstrate that this profession is heavily dominated by males. This data could potentially identify links in job satisfaction in any given profession. The purpose of this study was to identify contributing factors associated with job satisfaction or dissatisfaction of both male and female employees in the AIU by demographic characteristic (Cano, Miller). Gender Breakdown 40 Males 12 Females Mean 1.230769231 Median 1 Mode 1 Standard Deviation 0.425436 Sample Variance 0.180995

The quantitative methodology used in the study of employees of the American Intellectual Union was intrinsic. Depending on the type of information required for this study, a parameter must use a constant that is most appropriate for the study. In this case, the intrinsic data focused on the level of job satisfaction. The range was from 1-7 with 7 being the highest level of satisfaction and 1 being the least satisfied. The range in this study fell mostly towards the middle ground indicating a fairly high level of job satisfaction. The table below shows the results: Intrinsic Data Mean 4.967307692 Median 5.2 Mode 4.7 Standard Deviation 0.931732764 Sample Variance 0.868125943

|Level of Job Satisfaction |

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