Gross National Income of different countries Statistics Project

bring in field of study Income of divergent countries - Statistics Project ExampleData was collected by the World Bank Organisation about the Gross National Income, expressed in purchasing power parity dollars to adjust for price level differences crossways countries. The data is not adjusted for inflation. There be values for each year from 2001 -2009 for each country. The verse are measured in millions of dollars. Analysis is conducted taking the 2008 values only.The data has been acquired from the World Bank Organisation. The abridgment is conducted on the data for the year 2008. The data is a sample of Gross National Income of selected 173 countries. The methods employed are analysis of summary statistics, analysis of frequency table and histogram and the analysis of line graph of Gross National Income.ResultsIn accordance with the descriptive statistics demonstrated in Table 1, the following relation can be ascertained baseborn Median fashion = 12668 7270 4860 . Thi s relationship shows that the data is positively skewed. This in turn manner that the number of countries with low Gross National Income is higher as compared to those higher Gross National Income. Mean is a measure of the central tendency that is outlier biased. The statistical Median represents centre value of the data. Mode in truth represents the majority values in the data. In this case the Median seems more appropriate to be cerebrate as the central tendency as Mean seems to deliver an impression that the GNI of all countries is good whereas the Mode value paints an opposite picture. The Line Graph of Gross National Income asserts the selection of Median as a central tendency as the majority of spikes are almost at same level i.e. nearly 40,000. The exceptions are quiet evident in the above mentioned graph due to which the Mean cannot be selected as the central tendency. The value of Standard deviation is also high due to these exceptions. The Histogram (Figure 1) of the fr equency table (Table 2) shows an asymptotic decay in the frequencies. As a result of which it can be claimed that the data is following exponential function Distribution. Conclusion It is concluded that as the rate of Gross National Income is proceeding towards higher degree, the number of countries on the scale is diminishing. The frequency table (Table 2) highlights the lower Gross National Income recorded for the majority of countries. Part 2 Correlation and Regression Data was