Statistical Modelling Assignment Sample
Added on 2021-06-17
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Running Head: STATISTICAL MODELLING ASSIGNMENTStatistical Modelling AssignmentName of the StudentName of the UniversityAuthor Note
STATISTICAL MODELLING ASSIGNMENT1Table of ContentsSection 1......................................................................................................................................................21.0 Introduction.......................................................................................................................................2Section 2......................................................................................................................................................2Descriptive Statistics................................................................................................................................2Section 3......................................................................................................................................................5Inferential Statistics.................................................................................................................................5Section 4......................................................................................................................................................7Discussion and Conclusion.......................................................................................................................7References...................................................................................................................................................8
STATISTICAL MODELLING ASSIGNMENT2Section 11.0 IntroductionGender discrimination has been observed in Australia. The wages of male and female employeesof Australian companies differ significantly. Various reasons can lie behind this difference in salaries.There is discrimination in the Australian companies at the time of hiring. Further, it has been assumedthat the preference of men and women differ in different types of industries. The structures of thewages are also different in different types of industries. This can explain one of the reasons ofdiscrimination in wages. There might be a lot other factors that are responsible for this discrimination.The main aim of this study is to assess various factors that can be responsible for the discrimination inwages between males and females (Tomaskovic-Devey and Avent-Holt 2016). Dataset is required to analyze and satisfy the main research aim. Thus, data has been collectedfrom the ATO website. The data that was available on the website of Australian Taxation Office (ATO)was extremely large and thus, a subset of 1000 samples were selected from the original dataset for thepurpose of the analysis. The data contains information about the gender, occupation, wages anddeductions for donations of the people. Occupation is a categorical variable and each type of occupationwas represented by a number between 0 and 9. Gender of the people is also a categorical variable. Theother two variables present in the dataset such as wages and deductions for gifts or donations arenumeric variables. Since the dataset was pre-recorded and collected from the website, the dataset is asecondary dataset. Table 1.1: Table showing the first five cases of Dataset 1The analysis has been conducted in two parts. In the first part, this data available from the ATOwebsite will be analyzed. In the second part of the analysis, data will be collected with the help of asurvey. 40 residents of Australia were selected randomly and they were asked about their wages. Thegender and the wages of the respondents have been recorded for the purpose of the analysis. This datais primary data as it has been collected specially to conduct this research by conducting a survey. Since,the income of a person is a very sensitive information, people are not always comfortable with sharingthat information, even though they are promised about the confidentiality of the information. Thus, theinformation collected on the income of the participants of the research might not be the perfect amountand there might be some errors. Section 2Descriptive StatisticsFor the variable occupation code, the occupation of the people has been categorized into 9different categories described as follows: Occupation not listed or specified, coded as “0”
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