Evaluating Descriptive statistical Results
To evaluate the dataset, a statistical descriptive approach has been taken, in which, kurtosis, mean and standard deviation has been calculated for both developed and under-developed countries. Which, in turn, would help us to determine the relevance of the dataset, the values calculated are illustrated below for both variables.
Developed | |
Mean | 1078.494458 |
Standard Error | 32.9977345 |
Median | 1077.704228 |
Standard Deviation | 246.9324341 |
Sample Variance | 60975.627 |
Kurtosis | -1.264159751 |
Skewness | 0.016532853 |
Range | 813.3111293 |
Minimum | 678.2458178 |
Maximum | 1491.556947 |
Sum | 60395.68964 |
Count | 56 |
Largest(1) | 1491.556947 |
Smallest(1) | 678.2458178 |
Confidence Level (95.0%) | 66.12893768 |
It can be determined that the mean value calculated for developed countries amount to 1078, which represented the average value of the entire population in developed countries. Furthermore, the standard deviation amounted to 246.93, which represented the difference between the distance of the mean value and its outliers. Moreover, the kurtosis calculated for amount to a negative 1.24, which represented that the distribution was light tailed and the probability that the next generated would be low, was high.
Underdeveloped | |
Mean | 1272.485658 |
Standard Error | 49.3343984 |
Median | 1255.957043 |
Standard Deviation | 369.1848324 |
Sample Variance | 136297.4405 |
Kurtosis | -1.249668996 |
Skewness | 0.0880224 |
Range | 1211.462867 |
Minimum | 700.5497113 |
Maximum | 1912.012578 |
Sum | 71259.19686 |
Count | 56 |
Largest(1) | 1912.012578 |
Smallest(1) | 700.5497113 |
Confidence Level (95.0%) | 98.86834376 |
It can be determined that the mean value calculated for under-developed countries amount to 1272, which was more than the mean value calculated for developed countries. However, which represented the average value of the entire population in under-developed countries. Furthermore, the standard deviation amounted to 369, which represented the difference between the distance of the mean value and its outliers. Moreover, the kurtosis calculated for amount to a negative 1.24, which represented that the distribution was light tailed and the probability that the next generated would be low, was high.
Conclusion
After analyzing the dataset, regarding the worldwide population with respect to developed and under-developed countries. Therefore, it can be concluded that the population growth in underdeveloped countries was more densely populated than developed countries. Which can be determined from our analysis conducted above, where the average population of under-developed countries was more than the developed countries. However, it can also be evaluated from the dataset collected and later sorted, in which, the yearly population of under-developed countries was more than developed countries each years. Whereas, the both type of population represent an increasing trend, where they both increased from the year 1960 to 2015.
Top-downDecision-Tree Formulation
The tree above represents the population of under-developed countries, where the size of the tree is 11 with a Root Squared error amounting to 48.79%
The tree above represents the population of developed countries, where the size of the tree is 11 with a Root Squared error amounting to 48.79%.
Evaluating Descriptive statistical Results
To evaluate the dataset, a statistical descriptive approach has been taken, in which, kurtosis, mean and standard deviation has been calculated for both developed and under-developed countries. Which, in turn, would help us to determine the relevance of the dataset, the values calculated are illustrated below for both variables…………………….
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