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BUS708 Statistics and Data Analysis Name of the University Author

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Running Head: BUS708 STATISTICS AND DATA ANALYSIS BUS708 STATISTICS AND DATA ANALYSIS 11 BUS708 Statistics and Data Analysis Name of the Student Name of the University Author Note 1.0 Introduction 2 2.0 Analysis of Lodgement Method of ATO Data 2 3.0 Analysis of Lodgement Method of Students Data 3 4.0 Age Range and Lodgement Method 5 5.0 Lodgement Method and Total Income 6 6.0 Total Income and Total Deduction based on Lodgement Methods 9 7.0 Conclusion 10 References 11 1.0 Introduction

BUS708 Statistics and Data Analysis Name of the University Author

   Added on 2020-05-16

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Running Head: BUS708 STATISTICS AND DATA ANALYSISBUS708 Statistics and Data AnalysisName of the StudentName of the UniversityAuthor Note
BUS708 Statistics and Data Analysis Name of the University Author_1
1BUS708 STATISTICS AND DATA ANALYSISTable of Contents1.0 Introduction...........................................................................................................................................22.0 Analysis of Lodgement Method of ATO Data.........................................................................................23.0 Analysis of Lodgement Method of Students Data.................................................................................34.0 Age Range and Lodgement Method......................................................................................................55.0 Lodgement Method and Total Income..................................................................................................66.0 Total Income and Total Deduction based on Lodgement Methods.......................................................97.0 Conclusion...........................................................................................................................................10References.................................................................................................................................................11
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2BUS708 STATISTICS AND DATA ANALYSIS1.0 IntroductionLodging tax returns is the prime responsibility of each and every citizen of any nation. Taxesshould be payed to the government (Gallemore and Labro 2015). Despite of this, all the citizens are notsupposed to pay the income taxes. There is an income limit. Any individual earning more than theincome limit in a year is liable to pay the taxes (Bitler, Hoynes and Kuka 2016). Thus, on the occasion oflodging the tax returns, an individual can opt for two different ways. The first way is to appoint aregistered tax agent and pay him or her to do the work for the peoson. The other way is to prepare thelodgement file by himself or herself. This study is mainly based on Australia and the preference of theAustralian citizens for tax agents or self-preparers will be assessed in this study. Two different types of data has been collected for conducting this study. The first data has beenobtained from the Australian Taxation Office (ATO) website. The data on tax lodgement for the year2013-2014 has been obtained and a sample of 1000 data has been extracted from the original for thepurpose of this study. The data thus collected is a secondary data as it is obtained from a website. Thevariables involved such as gender is a categorical variable, age range is a categorical variable andlodgement method is a categorical variable. Other two variables involved such as total income and totaldeduction are both quantitative variables. In table 1 below are the first five cases of the first dataset.Table 1.1: First five cases of the ATO sample datasetGenderage_rangeLodgment_methodTot_inc_amtTot_ded_amt10S2389016S4936010S2462019A2944842510A49665684Unlike the first dataset, the second dataset contains information about the preference of taxlodgement methods by 150 international students studying in Australian Universities. This data is thusprimary data and the variable involved in this dataset is a categorical variable. 2.0Analysis of Lodgement Method of ATO DataTable 2.1 shows a summary of the number of people of Australia who prefer tax agents and whoprefer themselves for the lodgement of tax returns. It can be seen that 73.2 percent of the people prefertax agents. The proportion of preference for tax agents is shown diagrammatically in figure 2.1. It hasalso been obtained from the analysis that 70 – 76 percent of the people of Australia prefer tax agents.This can be claimed with 95 percent confidence. Table 2.1: Summary of Lodgement Methods of ATO DatasetRow LabelsCount of Lodgment_methodCount of Lodgment_method2A73273.20%S26826.80%
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3BUS708 STATISTICS AND DATA ANALYSISGrand Total1000100.00%73%27%Proportion of Lodgement Methods from the ATO DatasetASFigure 2.1: Pie chart showing proportion of Lodgement Methods for ATO DatasetTable 2.2: Proportion of Tax Agents of ATO DatasetSample Size1000Count of Successes732Confidence Level95%Sample Proportion0.732z Value1.9600Standard Error of the Proportion0.014006284Margin of Error0.0275Calculations for Computation of Confidence IntervalInterval Lower Limit70.45%Interval Upper Limit75.95%3.0Analysis of Lodgement Method of Students DataTable 3.1 shows a summary of the number of international students who prefer tax agents andwho prefer themselves for the lodgement of tax returns. It can be seen that 74 percent of the studentsselected prefer tax agents. The proportion of preference for tax agents is shown diagrammatically infigure 3.1. It has also been obtained from the analysis that 71 – 85 percent of the international studentsprefer tax agents. This can be claimed with 95 percent confidence.
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