Gender Differences in Salary - PDF

Added on - 31 May 2021

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Table of ContentsIntroduction:....................................................................................................2Descriptive Statistics:......................................................................................5Inferential Statistics:........................................................................................8Discussion & Conclusion:...............................................................................10
Introduction:a.The article is concern to do the analysis of salaries and occupation ofdifferent gender. The data is taken from Australian Taxation Office (ATO) fora particular location in Australia.The necessity of the study is to distinguish about the relationship betweensalaries and occupation for different gender.This, theresearch question ofthe study can be considered as, whetherthere is a significance differencebetween the average salaries of male and female employees.To analyze theresearch question, the data collected for a particular location in Australia.b.The dataset 1 is a taxation data provided by Australian Taxation Office(ATO) for a particular location in Australia. So, dataset 1 is a secondary databecause it is obtained from another source. The dataset 1 have data for1000 employees which consists information about Gender, Occupation code,salary/wage amount and the gift amount. The variable gender has dividedinto two categories as female and male, so it is a nominal level variable. Thevariable occupation code specifies the occupation of the employees whichhas divided into 10 categories, so it is a nominal level variable. The variablesalary/wage amount indicates the salary of the employees, so it interval/ratiolevel variable. The gift amount indicates the gift or donation deductions, so itinterval/ratio level variable.The first five values of the dataset 1 is,GenderOcc_codeSw_amtGift_amtMale9313040Female0027Female2869340
Female428649144Female3696200c.The dataset 2 collected by offline survey by asking questions to workingemployees about their gender, position and the salary/wage amount, so it isa primary data.The dataset covers 50 values which are large enough to provide unbiased ofthe study. The variable gender has been divided into two categories asfemale and male, so it is a nominal level of measurement. The variableoccupation code indicates the occupation of the employees which has beendivided into 10 categories, so it is a nominal level of measurement. Thevariable salary/wage amount indicates the salary of the employees, so itinterval/ratio level of measurement.
Descriptive Statistics:a.The graph for the relationship between variable Gender and theoccupation is shown below:Occupation not listed/ Occupation not specifiedManagersProfessionalsTechnicians and Trades WorkersCommunity and Personal Service WorkersClerical and Administrative WorkersSales workersMachinery operators and driversLabourersConsultants, apprentices and type not specified or not listed020406080100120Relationship between variable Gender and the occupationMaleFemaleOut of 1000, 21 male and 32 female employees were sales workers, 76 maleand 18 female employees were technicians ate trades workers, 97 male and96 female employees not listed their occupation otherwise it is not specified,25 male and 95 female were clerical and administrative workers, 59 male
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