BUS708 – Statistics and Data Analysis
Added on 2021-06-17
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Running Head: BUS708 – STATISTICS AND DATA ANALYSISBUS708Statistics and Data AnalysisName of the StudentName of the UniversityStudent ID
BUS708: STATISTICS AND DATA ANALYSIS1Table of Contents1.1 Introduction...........................................................................................................................................22.1 Descriptive Statistics..............................................................................................................................23.1 Inferential Statistics...............................................................................................................................44.1 Discussion and Conclusion.....................................................................................................................6References...................................................................................................................................................7
BUS708: STATISTICS AND DATA ANALYSIS21.1 IntroductionGender difference is one of the primary problems that is persistent in Australia. There is a hugedifference in the salaries earned by the women and male employees in Australia. Gender discriminationsare caused at the time of hiring. Women are not given a higher position than men usually. Further, it isknown the industries in which women are mostly hired have a salary structure less than the industries inwhich men are hired. Other than these two reasons, there can be various other reasons that areresponsible for this difference in their salaries. The main aim of this research is to find out the otherfactors that are responsible for this difference (Blau 2016). Thus, in order to carry out the research, data has been collected from the website of theAustralian Taxation Office (ATO). Information on a lot of persons are present in the original dataset.Thus, a sample of 1000 people have been collected from the dataset to conduct this study. As the datacollected in this case is from the government website and was already recorded, this type of data isknown as secondary data. There are four variables in the dataset such as Gender, occupation, salary anddeduction amount due to gift or donation. Among these four variables, Gender and occupation arecategorical variables and salary and deduction due to gift or donation are numerical variables. The firstfive cases of the data are attached in table 1.Table 1This analysis is divided into two parts. The first part mostly dealt with the analysis of thesecondary data. In the second part of this research, a sample of 30 people have been collected and theirsalaries have been recorded along with their gender. This data collected with the help of the survey isprimary data as it has been collected from the people directly for solving the purpose of the survey.There might be one error in this dataset. As the data is about the income of people, the exactinformation might not be available. A manipulative result is expected to have obtained. 2.1 Descriptive StatisticsThe variable occupation code contains information about 10 different types of occupation. Eachof the codes are indicated by the following occupation types:Table 2.1Occupation CodeOccupation Type0occupation is not specified or listed1Managers2Professionals3Technicians and Trades Workers4Community and Personal Service Workers5Clerical and Administrative Workers
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