Beverly Diamonds analyzed the data to find the variance. The variance is 272,368,404.40. Beverly Diamonds calculated this total by taking the mean of the data and figuring out the exact each distance of each result was from the mean. Then squaring the distance of each result from the mean. Once squared, the sum was totaled and divided by the number of results minus 1. The result of which is the variance, in this case of, 272,368,404.40. The standard deviation is $16,503.59. Which was found by calculating the square root of the variance.

Beverly Diamonds analyzed the data further and discovered the number of countries that have a real income per capita greater than the average income is 5. The reason for this being the fact that the average income was $56,672.07. The countries with income greater than that number are just Luxembourg, Switzerland, Macao SAR, China, Norway, and Qatar. Further analysis by the Beverly Diamonds team showed the number of countries in the 10% of the range is 7. The reason for this being the fact that the range was $60,230.90. Ten percent of that is $6,023.09. All of the countries that are within $6,023.09 of the beginning of the range would translate into any country that has a GDP per capita below $47,242.95. When Beverly Diamonds analyzed the data it uncovered 7 countries within this area.

After Beverly Diamonds analyzed the data, it concluded that even among wealthy countries some disparity does exist between those at the very top. However, as a whole aside from the extreme outliers like Luxemburg, it seems that wealth among the richest nations is normally distributed. It would be interesting to see the GDP per capita of all countries, whether the distribution would still remain normal. When Beverly Diamonds analyzed the data, the calculations show an abnormal distribution of income .