The report comprises of two parts. The first part consists of a statistical analysis of Gross National Income of 173 countries of the world. The main theme is to comment on the data through selection of appropriate measure of central tendency. The paper includes the statistics of visitors to the UK and its revenue…
Download full paperFile format: .doc, available for editing
Download file to see previous pages
Data was collected by the World Bank Organisation about the Gross National Income, expressed in purchasing power parity dollars to adjust for price level differences across countries. The data is not adjusted for inflation. There are values for each year from 2001 -2009 for each country. The numbers 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 analysis 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.
In accordance with the descriptive statistics demonstrated in Table 1, the following relation can be ascertained:
Mean > Median > Mode = 12668 > 7270 > 4860 .
This relationship shows that the data is positively skewed. This in turn means 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 actually represents the majority values in the data. In this case the Median seems more appropriate to be focused 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. around 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 frequency 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 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
...Download file to see next pagesRead More
Cite this document
(“Gross National Income of different countries Statistics Project”, n.d.)
Retrieved from https://studentshare.org/statistics/1427729-gross-national-income-of-different-countries
(Gross National Income of Different Countries Statistics Project)
“Gross National Income of Different Countries Statistics Project”, n.d. https://studentshare.org/statistics/1427729-gross-national-income-of-different-countries.
It is evidently clear from the discussion that Gross Domestic Product is only a component of Gross National Happiness, through economic development, as identified by His Royal Highness of Bhutan back in 1972. It aims at encompassing all factors which could ensure a smooth and uninterrupted social lifestyle.
So there are so many parameters involved in the study of satisfaction towards food. It may be influenced through restaurants of good quality, which can add to nutritional value and physical value. This study examines the impact of fast food restaurants in developing countries on individual life satisfaction of individual living in those countries.
The mean gross profit for the healthcare industry is 14,525.19 while for the telecommunication industry the mean is 13,157.37, from the figures it is evident that health care industry has a relatively high gross profit than the telecommunication industry.
Furthermore, the number of its employees is really impressive reaching the 400,000 who enjoy conditions of diversity both geographically but also culturally. It has to be highlighted that the company managed through the 60 + years of existence (it was established in 1941) to extend its activities globally through a continuous and radical growth both as a consequence of its performance as well as through the acquisitions of its competitors.
This assignment is going to develop a model for the estimation of GDP per capita depending on the values of exports and foreign direct investment (FDI). The above description implies that, in this case, GDP per capita is the dependent
The GDP depends entirely on the different economic activities that the countries engage in that will range from production activities, importation aspects, the development of different services within the borders and exportation aspect. All
There are many social and economic indicators that describe the national growth of a country. Such variables are the unemployment rate, GDP, Inflation rates and disposable household expenditure to name a few.
In this project an attempt has been made to forecast milk production using statistical time series modeling techniques – double exponential smoothing and Autoregressive integrated moving average models. Forecasting of milk production enables policy makers and planners to estimate the supply of milk requirement in the future.
Samir Bitar: Shokran Maha. Id like to thank Maha for her wonderful introduction. Er, my name is Samir [Ibrahim Muhammadi] Bitar or Samir Bitar. In the US it is customary to ask people whats your last name so I only have two names, Samir
1 Pages(250 words)Statistics Project
GOT A TRICKY QUESTION? RECEIVE AN ANSWER FROM STUDENTS LIKE YOU!
Save Your Time for More Important Things
Let us write or edit the statistics project on your topic
"Gross National Income of different countries"
with a personal 20% discount.