Income Level of Individual Affect Happiness

Added on - 21 Jul 2020

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Income Increase Happiness?
Executive SummaryIn the current investigation, emphasis has been placed by the researcher on analysing theeffect of income on happiness. In addition to this, to address research questions data has beengathered from both primary and secondary sources. By conducting survey on 20 individuals, datahave been gathered. Descriptive and regression analysis tool has been applied by the researcherto evaluate research issue. From evaluation, it has assessed that majority of the respondents werehappy from their income. It can be depicted from evaluation that along with the income,happiness influences from several factors such as stress, improper balance in life etc.
TABLE OF CONTENTSINTRODUCTION...........................................................................................................................1Methods of data collection...........................................................................................................1Summary of data set....................................................................................................................1Descriptive statistics or data analysis........................................................................................10Simple linear regression............................................................................................................11CONCLUSION..............................................................................................................................16RECOMMENDATIONS...............................................................................................................16REFERENCES..............................................................................................................................17APPENDIX....................................................................................................................................18
Topic: To analyse the extent to which income level of individuals affect their happiness.INTRODUCTIONIn the current times, significant changes have taken in the living standard ofindividuals.In this regard, individuals can fulfil their desire only when they earn enough moneyor havinghigh disposable income. The main motive carry out present investigation is to analysethe extent to which income earned by the individuals have an influence on their happiness. Forthis purposes, individuals of Australia has been selected on which study will be focused. In this,study will shed light on the techniques that undertaken by scholar for sample selection, datacollection and analysis.Methods of data collectionBy conducting survey on 20individuals or households, primary data was gathered.Through including both qualitative and quantitative questions in the questionnaire,views ofindividuals were gathered to ascertain the level of association between income and happiness. Inthis, to meet research objectives 20 individuals were selected through applying simple randomsampling technique.The rationale behind considering such sampling technique is that it avoidslevel of biasness to a great extent and helps in presenting suitable solution of issue (Etikan, Musaand Alkassim, 2016).In addition to this, both thematic and quantitative evaluation was done todiscover suitable information from data set. Graphical presentation of data set was done to reflectthe views of respondents in a structured way. Hence, descriptive and regression analysis tool wasapplied to assess the impact of income on happiness. Further, findings of both qualitative andquantitative data set were also supported with the similar kind of studies.Summary of data set1. AgeParticularsViews ofrespondents% ofrespondents18-30840%
31-40420%41 andolder840%Total20100%18-3031-4041 and older0%5%10%15%20%25%30%35%40%%ofrespondents% of respondentsInterpretation: Graphical presentation shows that 20% respondents fallen within the agegroup of 31-40 years. On the other side, 40% individuals having age of 18-30, whereasremaining 40% accounted for the category of 31 and older.2. GenderParticularsViews ofrespondents% ofrespondentsMale1155%Female945%Total20100%
MaleFemale0%10%20%30%40%50%60%%ofrespondents% of respondentsInterpretation: Outcome of survey shows that majority of the respondents(approximately 55%) were male and remaining 45% accounted for females.3. Marital statusParticularsViews ofrespondents% ofrespondentsSingle840%Married1050%Divorced810%Total20100%SingleMarriedDivorced0%5%10%15%20%25%30%35%40%45%50%%ofrespondents% of respondents
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