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Population Demographics and Prosperity

Population Demographics and Prosperity. Demographics?. Demographics refers to a variety of statistics used to analyze and evaluate different populations. Some statistic variables include: Age Gender Birth/Death Rates

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Population Demographics and Prosperity

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  1. Population Demographics and Prosperity

  2. Demographics? • Demographics refers to a variety of statistics used to analyze and evaluate different populations. Some statistic variables include: Age Gender Birth/Death Rates Education Migration Rates Race/Religion • Many of these statistics are also used as ways of measuring the Human Development Index, which is the standard of living in different places.

  3. Prosperity? • Prosperity refers to the growth and development of a town, region, or country. It is the amount of success and fortune a population has had. • Prosperity can be measured by economic strength (Gross Domestic Product or GDP), average income (US$/year), or by country classification models (developed, newly-industrialized, developing). • Developed Nations: Countries that are industry or service-based, and have been highly urbanized. • Newly-Industrialized Nations: Countries that are rising in economic growth, but are not quite at the level of first world, developed countries. • Developing Nations: Countries that are still rural (agriculture) based, and do not offer the services that the other countries have.

  4. Question • How are the different measurements of prosperity (GDP per Capita and Average Annual Income) related? • I will… • Show a graph that compares countries and their GDP • Show a graph that compares countries and their Average Income • Do a direct comparison of the two graphs to determine a relationship

  5. Hypothesis • I think that the developed countries will have a higher GDP per Capita than other countries. I also think that developed countries will have a higher average income than other countries. I believe that the newly-industrialized countries will be close to the developed countries in GDP per Capita.

  6. Information Countries That Will Be Used For Examples • Developed: Canada, France, Japan, United Kingdom, United States • Newly Industrialized: Brazil, China, India, Mexico, South Africa • Developing: Chad, Kenya, Sudan, Pakistan, Vietnam

  7. Mean: 13573 Median: 8100Mode:-------- Standard Deviation: 13806 Variance: 190615523.8 Canada’s Z-Score: 1.285

  8. Analysis Minimum: 1100 Maximum: 40100 Range: 39000 Quartile 1: 2200 Quartile 2: 8100 Quartile 3: 29400 Interquartile Range: 27200

  9. Standard Deviation: 13155 Variance: 171996406.7 Canada’s Z Score: 1.281 Mean: $12939 Median: $7480 Mode:-------

  10. Analysis • Quartile 1: $2060 • Quartile 2: $7480 • Quartile 3: $27650 • Interquartile Range: $25590 • Minimum: $1020 • Maximum: $37500 • Range: $36480

  11. Comparisons GDP per Capita: y=-2562.9x+34256 Average Income: y=-2439.4x+32454 • This is a cause and effect relationship because as the GDP increases, the average income increases. It is strong, positive correlation since the coefficient of correlation is very close to 1.

  12. Summary • Based on my hypothesis, I was correct for the most part. • Both the GDP and Average Income in developed countries are much higher than in newly-industrialized and developing countries. This shows the large separation in the world between the wealthy and non-wealthy countries. • I was wrong in predicting that newly-industrialized countries would have GDP levels close to developed countries. Instead, they are closer to developing countries.

  13. Question 2 • What is the primary religion in a country, and is that related to the death rate in that country? I will • Show a graph demonstrating the religion in each country used • Show a graph comparing each country and its death rate • Compare the two demographics to see if there is a relationship

  14. Hypothesis • I predict that the countriesthat follow the Christian religion will have lower death rates than countries following Islam. • I think that countriessupporting religions other than Christianityand Islam will have death rates similar to Islamic countries.

  15. Information on Religion Christianity(8/15)=53% Islam(3/15)=20% Other(4/15)=27% Therefore this may lead to bias in the question because the distribution of religions across the 15 countries are not equal

  16. Death Rates The death rate is the amount of people that die for every 1000 people. It is calculated annually.

  17. Canada-1 France-2 Japan-3 UK-4 USA-5 Brazil-6 China-7 India-8 Standard Deviation: 3.1266 Variance: 9.7759 Canada’s Z Score: -0.7008 Mean: 9.5813 Median: 9.14 Mode: -------- Mexico-9 South Africa-10 Chad-11 Kenya-12 Sudan-13 Pakistan-14 Vietnam-15

  18. Analysis Minimum: 5.05 Maximum: 15.71 Range: 10.66 Quartile 1: 7.39 Quartile2: 9.14 Quartile3: 10.38 Interquartile Range: 2.99

  19. Comparisons Average Death Rates For Christian Countries… 9.85 For Islam Countries… 11.83 For “other” Countries… 7.35

  20. Summary • I was correct in predicting that the Christian countries would have lower death rates than the Islam countries. I think this occurs because in general Christian countries are more economically developed than Islamic ones. • I was wrong though in thinking that countries with alternative religions (Hinduism, Shinto, Confucianism, and Buddhism) would have death rates similar to Islamic countries. As a result, they actually have the lowest death rates out of anybody. This may be because of a combination of less war and better health care and management.

  21. Question 3 • What is the average life expectancy of each country, and does that relate to the GDP per Capita of each country? I will… • Show a graph demonstrating the life expectancy of each country used • Show a graph representing the GDP per Capita of each country used • Compare the two graphs to determine a relationship

  22. Hypothesis • I think that countries that have a lower life expectancy will have a lower GDP per Capita. I also predict that the developed countries (Canada, France, Japan, United Kingdom, USA) will have higher life expectancies than other countries.

  23. Life Expectancy • Life Expectancy is how long the average person is expected to live in a certain country. It is calculated annually.

  24. Standard Deviation… 11.3591 Variance… 129.0302 Canada Z Score… 1.1327 Mean… 66.5627 Median… 69.2700 Mode… ---------

  25. Analysis • Minimum:47.98 • Maximum: 80.70 • Range: 32.72 Quartile 1: 56.55 Quartile 2: 69.27 Quartile 3: 77.66 Interquartile Range: 21.11

  26. To view GDP Graph Click Here Comparisons Life Expectancy: y=-1.85x+81.425 GDP per Capita: y=-2562x+34256 This is a cause and effect relationship because as the GDP per Capita increases, the Life Expectancy increases. It is a medium positive correlation because the coefficient of correlation is 0.6091.

  27. Summary • I was correct in thinking that countries with a lower life expectancy would have lower GDP per Capita figures. It seems as if countries that are more economically developed have people live longer in general. Canada has the second highest GDP per Capita and the second highest life expectation, meaning our country is healthy and strong.

  28. Question 4 • What is each country’s population growth rate, and is that related to its average annual income? I will… • Show a graph representing the population growth rate of each country • Show a graph demonstrating the average annual income of each country • Compare the two statistics to see if there is a relation

  29. Hypothesis • I think that as the higher a country’s population growth rate is, the lower its average income will be. I also believe that Canada will have the lowest population growth rate because I do not think Canada’s population grows very fast.

  30. Population Growth Rate Growth Rate Projections from 2005-2010 • The population growth rate is the percentage a population increases in a select number of years. The World’s Population Growth Rate is 1.17%

  31. Standard Deviation: 0.8447 Mean: 1.2426 Variance: 0.7136 Median: 1.12 Canada’s Z-Score: 0.4056 Mode: --------

  32. Analysis • Minimum: -0.02 • Maximum: 2.88 • Range: 2.90 • Quartile 1: 0.55 • Quartile 2: 1.12 • Quartile 3: 1.84 • Interquartile Range: 1.29

  33. Comparison To view the Average Income Graph Click Here This is a cause and effect relationship because as the average income increases, the population growth rate decreases. It is a weak, negative correlation since the coefficient of correlation is 0.4516

  34. Summary • I was correct in thinking that the higher a country’s population growth rate is, the lower their average annual income would be. This means that the developed countries grow slower than other countries. • I was wrong though in thinking that Canada would have the lowest growth rate out of the example countries. It was actually Japan, who has a population growth rate of -0.02, meaning that their population will be slowly decreasing until at least 2010.

  35. Conclusion • Demographics and Prosperity are definitely related to certain extents. Countries that are developed (stronger economically), tend to have lower death rates, lower growth rates, and higher life expectancies. Developing countries have high death rates, high growth rates, and low life expectancies. Newly Industrialized countries are generally between the two. • I predict the gap to close between the developed and developing worlds because some world powers (USA) are struggling economically, while other developing countries (Vietnam) are improving economically.

  36. References • www.wikipedia.org/wiki/List_of_countries_by_population_growth_rate • www.os-connection.com/pop • www.web.worldbank.org • estat.statcan.ca

  37. THANK YOU Math problems? Call 1-800-[(10x)(13i)2]-[sin(xy)/2.362x].

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