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Life expectancy at birth and GDP per capita are two 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 health and living conditions at the time of its birth remained the same throughout its life It reflects the health of a countrys people and the quality of care they receive when they are sick GDP per capita or Gross Domestic Product 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 validity and limitations Therefore these two indicators have to be used together so that we could can prevent inaccuracy and bias provided by one found in each of them I set up a hypothesis that is where the life expectancy at birth in high GDP per capita countries is higher than in low GDP per capita countries The reason 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 It is very important to choose an appropriate method of sampling in for geographical analysis There are 151 pairs of the data taken from The World Bank Organization - 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 accurate method as it has no bias I choose 20 random countries by marking a number from 1 to 151 in front of each country Since these countries have already been categorized into 6 continents of the world so it has
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