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Your task is to look at the dataset provided and analyse it as fully as you can. You are to write a report for a senior manager that explains various features of the data. The report should be no more than 1000 words (excluding graphs and calculations) a - Essay Example

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From Appendix 3 we can see that there is no distinct relationship between tax revenues and borrowing. Therefore, they do not affect each other and are also not affected by the same…
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Your task is to look at the dataset provided and analyse it as fully as you can. You are to write a report for a senior manager that explains various features of the data. The report should be no more than 1000 words (excluding graphs and calculations) a
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"Your task is to look at the dataset provided and analyse it as fully as you can. You are to write a report for a senior manager that explains various features of the data. The report should be no more than 1000 words (excluding graphs and calculations) a"

Download file to see previous pages They are slightly moving together, there is a 0.5 correlation between borrowing rates of 2011 and those of 2012 which is a weak correlation. The correlation between tax revenues in 2011 and 2012 is +1 which means that they are positively and strongly correlated. (Correlation Coefficient 2001).
The Inter-quartile range is highest in the borrowings of 2012; therefore, data was highly dispersed in 2012 and for the borrowing rates. We use the IQR to measure dispersion since it is not affected by outliers in the data as compared to range. The lowest dispersion was in the tax revenue of 2012, followed by tax revenue of 2011 and on a higher dispersion was 2011 borrowings. We can, therefore, conclude that the dispersion rate is higher in borrowings as compared to tax revenues. (Altman & Bland 1994)
Standard deviation is a statistic that helps explain how data is clustered around the mean; it is helpful in explaining why the data is the way it is. A lower rate is recommended since it shows that most of the data is spread out around the mean. In 2012 borrowing had the highest deviations, for example the data ranges form -17,039 million dollars in April to $17,395 m. in November. This explains a high deviation from the mean. 2011 borrowing followed with a standard deviation of 5,873 and Tax revenue had a lower standard deviation. We, therefore, conclude that there is high deviation in borrowing since the government can borrow from time to time to fund its operation, but it is hard to vary the tax rates and; therefore, tax revenue tends to be stable. (Niles 1995)
Appendix 1 provides the graph on borrowing levels for the 2 years, from the graph it is possible to draw a pattern where borrowings are low in January of both years, that is, -8197 million dollars in 2011 and -10,053 million dollars in 2012. The months of July also have low borrowing rates followed by October. The months with high ...Download file to see next pagesRead More
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