This paper details the data analysis in various forms.
The provided data was analysed using a statistical package called Minitab (version 15), which is designed to 'make data analysis easier'. Descriptive statistics were used to provide summaries of the information, which made it simple to examine and evaluate different types of data. Basic Statistical features along with graphical presentation along with graphical presentation features of Minitab were used to represent the data in a meaningful and easily understandable way. For example, it would easier to analyse the male and female representation, job category wise as provided by the data using the Bar Charts. This enables the reader to catch the precise representation of the different groups on a look just at the chart without really looking at the numbers.
This is the very basic analysis of breaking down the total data into the number of males and females for whom the salary data is presented. Out of the total number of 474 people, whose salaries are analysed there are 258 males and 216 females whose salaries have been considered. The males represent 54.43 percent and females represent 45.57 percent of the sample selected. The pie diagram and the descriptive statistics representing the date are as below:
From the above pie diagram it is easier to understand the proportion of both genders in the total sample data. Obviously as represented by the numbers the male population is more than the female population. This is represented by the descriptive statistics and a bar diagram as below:
4.0 Breakdown by Job Category:
The next statistical analysis relates to the breaking down of the available data on the basis of the three different job categories namely Clerical, Supervisory and Managerial. From the descriptive statistics it may be seen that there are 363 Clerical grade staff representing 76.58 percent of the total 474 people considered for this analysis. Next comes the Managerial Staff with 84 (17.72 percent) followed by Supervisory staff at 5.70 percent with 27 people.
The above data can be represented diagrammatically as below:
A further breakdown of the data led us to the following distribution of job category wise people in the male staff. There are 157 Clerical staff, 27 supervisory staff and 74 managerial staff in the males segment of the sample population. The respective percentages are 60.85, 10.47 and 28.68. The pictorial representation is also presented below:
A similar analysis in respect of the female staff shows the following representation. It may be observed that there is no supervisory staff from the female segment. The total of 27 supervisory staff is being represented only by males. Another significant factor is the number of clerical staff is more at 206 as compared to the men at 157.
The diagrammatic representation is as below:
A comparative descriptive statistics and a diagrammatic representation are produced below. It may be observed that the pictorial representation with the male and female components of the job category wise representation presents a meaningful analysis to the reader of the data. Especially in the case of supervisory staff where there is no representation from female segment is presented diagrammatically on a better way.
Similarly the more number of female clerical workers than the males is also represented much better