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Saturday 13 April 2013

Coursework Topic: The correlation between GDP per capita against Life expectancy at Birth in different countries

Life expectancy at birth and gross domestic product per capita are devil major indicators of a countrys development. Life expectancy is one of a main social indicators. It is the average number of years a newborn infant would be expected to live if wellness and living conditions at the time of its birth remained the same throughout its life. It reflects the wellness of a countrys people and the quality of care they mother when they are sick. GDP per capita or Gross Domestic harvest-tide per capita is one of economic indicators. It measures the size of economies and thus provides an indicator on the level of national income for the resident population. Due to eEach of these indicators has its own boldness and limitations. therefore, these two indicators have to be used to hitchher, so that we could rear end prevent inaccuracy and bias provided by one found in each of them. I set up a possibility that is where the life expectancy at birth in noble GDP per capita countries is higher than in first-class honours degree GDP per capita countries. The author for my hypothesis is that high GDP per capita countries have primary health care and more access to nutritious foods, while low GDP per capita countries have less of them.

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It is very important to take on an appropriate method of sampling in for geographical analysis. There are 151 pairs of the data taken from The World Bank constitution - Data of life expectancy at birth and GDP per capita. Since they are too many to make use of, I will choose only 40 pairs of data for this analysis. I use random sampling and systematic sampling as two appropriate methods. Random sampling is the most hi-fi method as it has no bias. I choose 20 random countries by marking a number,

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