Data Analysis Research Report
| | | Rebecca RoyN8586799Tutor: Jenny Houtsma |
[BSB123 - Data analysis research report] | Analyzing the relationships between different variables in relation to one year returns within the superannuation industry. |
Contents 1.0 Introduction 2 2.0 Outliers 3 3.0 Historical Analysis 4 4.0 Current Data (One Variable Analysis 5 5.0 Bivariate and Trivariate Analysis 6 5.1 Impact of Investment Strategy on One Year Returns 6 5.2 Impact of Three Year Returns on One Year Returns 8 5.3 Impact of Investment Strategy and Three Year Returns on One Year Returns 10 6.0 Conclusion 11 7.0 Appendix 12
1.0 Introduction
Superannuation is something that is relevant to all working Australians and making the correct decisions can have enormous effects on the future. From the age of eighteen, each working Australian’s employer begins to make employer contributions to their superannuation fund. Once the employer begins to make contributions, the employee must start making decisions regarding the investment strategy, segment and specific fund that these contributions are being invested into. By analysing data from historical and present standpoints, it will become evident which superannuation funds have the ability to prosper in the future, while other funds may plummet, essentially reviewing the entire Australian superannuation industry.
2.0 Outliers
In every set of data, whether it be from a population or sample, there is the possibility of outliers. These outliers have the ability to distort or misrepresent the data and can have harmful effects through the analysing process, and can often taint the results. To find the outliers in a set of data, the z-scores of each figure must be found (see Appendix 1). If the z-score calculated is below negative three or above positive three, it is considered on outlier. For this set of superannuation data two of the z-scores fell just below negative three, making them outliers. A decision has
[BSB123 - Data analysis research report] | Analyzing the relationships between different variables in relation to one year returns within the superannuation industry. |
Contents 1.0 Introduction 2 2.0 Outliers 3 3.0 Historical Analysis 4 4.0 Current Data (One Variable Analysis 5 5.0 Bivariate and Trivariate Analysis 6 5.1 Impact of Investment Strategy on One Year Returns 6 5.2 Impact of Three Year Returns on One Year Returns 8 5.3 Impact of Investment Strategy and Three Year Returns on One Year Returns 10 6.0 Conclusion 11 7.0 Appendix 12
1.0 Introduction
Superannuation is something that is relevant to all working Australians and making the correct decisions can have enormous effects on the future. From the age of eighteen, each working Australian’s employer begins to make employer contributions to their superannuation fund. Once the employer begins to make contributions, the employee must start making decisions regarding the investment strategy, segment and specific fund that these contributions are being invested into. By analysing data from historical and present standpoints, it will become evident which superannuation funds have the ability to prosper in the future, while other funds may plummet, essentially reviewing the entire Australian superannuation industry.
2.0 Outliers
In every set of data, whether it be from a population or sample, there is the possibility of outliers. These outliers have the ability to distort or misrepresent the data and can have harmful effects through the analysing process, and can often taint the results. To find the outliers in a set of data, the z-scores of each figure must be found (see Appendix 1). If the z-score calculated is below negative three or above positive three, it is considered on outlier. For this set of superannuation data two of the z-scores fell just below negative three, making them outliers. A decision has