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"Does the level of development of a country affect the number of deaths caused by earthquakes?"

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Introduction

"Does the level of development of a country affect the number of deaths caused by earthquakes?" Introduction To answer this question I am going to need a set of statistics, from a secondary source as it is not realistically possible for me to gather this information for myself. I need to know where the earthquake happened, the date of the earthquake, the number of deaths caused by the earthquake and the size of the earthquake. It is important to know the size of the earthquake as it is not fair to compare an earthquake of size 7 to one of size 4. I am going to use GNP per capita (Gross National Product) to measure the level of development of a country. I feel that GNP is the best way to measure development for this exercise. GNP gives an easy sum with a wide variation of results and is easy to relate to. I predict that the number of deaths caused by an earthquake will be strongly affected by the level of development. However I think that other factors will affect this and development is not the only factor in this investigation. The following subheadings will explain more thoroughly what affects the amounts of deaths caused by an earthquake. Health MEDC's (More Economically Developed Countries) have far better medical resources than LEDC's (Less Economically Developed Countries) and have more money so they can get the emergency services to the scene of an earthquake quicker. ...read more.

Middle

13 169 India 290 16 22000 4 12 144 Turkey 2120 6 1000 13 7 49 Pakistan 430 15 1200 12 3 9 Philippines 830 11 1621 10 1 1 Iran 2730 5 50000 1 4 16 Armenia 660 14 25000 2 12 144 Mexico 3750 4 9500 5 1 1 Yemen 780 12 2000 9 3 9 Italy 19620 3 4800 7 4 16 Algeria 1650 7 4500 8 1 1 Colombia 1170 8 800 14 6 36 Romania 1120 9 1541 11 2 4 Guatemala 1110 10 22778 3 7 49 Total= 682 Spearman's Rank = 1 - (6 x 682) = -0.00294 (16 x 16 x 16 - 16) This shows that there is no correlation at all and that there is no link between the amount of deaths caused by an earthquake and The GNP of the earthquake in which the earthquake occurred. This goes against what I have said in my prediction. Country Life Expectancy Rank Deaths Rank Difference D Squared Japan 79 1 5000 6 5 25 Indonesia 63 13 37 16 3 9 USA 76 3 57 15 12 144 India 60 15 22000 4 11 121 Turkey 66 10 1000 13 3 9 Pakistan 62 14 1200 12 2 4 Philippines 64 12 1621 10 2 4 Iran 68 8 50000 1 7 49 Armenia 73 4 25000 2 2 4 Mexico 71 5 9500 5 0 0 Yemen 50 16 2000 9 8 64 Italy 77 2 4800 7 5 25 Algeria 67 9 4500 8 1 1 Colombia ...read more.

Conclusion

I think that if I had gathered more results, I may have possibly found a correlation because there would have been more results that fitted the pattern and less of the anomalies. The anomalies have a very large affect on the correlation especially with regards to Spearman's rank, where there is no visible result. The errors were caused because earthquakes are random and can occur anyplace, anytime. If I were to do this experiment again I would keep everything the same except get more results. The other reasons for deaths in an earthquake that are not related to development were listed earlier however I will list them again below Population Density Obviously areas of low population density will suffer less from the effects of an earthquake than an area of high population density. LEDC's and MEDC's both have areas of low and high population density and so this is not affected by the level of development Strength of Earthquake The strength or magnitude of an earthquake is measured on the Richter scale. It is obvious to think that the size of the earthquake affects the amount of deaths Earth The type of soil which the earthquake hits affects the amount of deaths. Some soil will crack easier than others and some soils will hold the building up better than others. As a whole my project went against my predictions and was relatively un-successful in terms of results I feel that I managed to give reasons for this and I understand why my were what they were. ...read more.

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