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Population Demographics and Prosperity Demographics? • Demographics refers to a variety of statistics used to analyze and evaluate different populations. Some statistic variables include: Age Education Gender Migration Rates Birth/Death 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. 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$/year), or by country classification models (developed, newly-industrialized, developing). • Developed Nations: Countries that are industry or servicebased, and have been highly urbanized. • Newly-Industrialized Nations: Countries that are rising in economic growth, but are not quite at the level of first world, developed countries. • Developing Nations: Countries that are still rural (agriculture) based, and do not offer the services that the other countries have. Question 1. How are the different measurements of prosperity (GDP per Capita and Average Annual Income) related? • • • I will… Show a graph that compares countries and their GDP Show a graph that compares countries and their Average Income Do a direct comparison of the two graphs to determine a relationship Hypothesis • I think that the developed countries will have a higher GDP per Capita than other countries. I also think that developed countries will have a higher average income than other countries. I believe that the newly-industrialized countries will be close to the developed countries in GDP per Capita. Category Country Amount Developed 34 Information Countries That Will Be Used For Examples Newly9 Industrializ ed • Developed: Canada, France, Japan, United Kingdom, United States Developing 144 • Newly Industrialized: Brazil, China, India, Mexico, South Africa Countries Categorized Developed New lyIndustrialized Developing • Developing: Chad, Kenya, Sudan, Pakistan, Vietnam Country GDP per Capita Average Income (US$) Canada (1) 31500 29740 France (2) 28700 27460 Japan (3) 29400 28620 United Kingdom (4) 29600 27650 United States (5) 40100 37500 Brazil (6) 8100 7480 China (7) 5600 4990 India (8) 3100 2880 Mexico (9) 9600 8950 South Africa (10) 11100 10270 Chad (11) 1600 1100 Kenya (12) 1100 1020 Sudan (13) 1900 1880 Pakistan (14) 2200 2060 Vietnam (15) 2700 2490 et na m ta n Vi kis da n Pa Su ny a ha d Ke ut h So C a Af ric ico ia In d hi n a il C az Br SA U K U pa n e Ja nc M ex C Fr a da 50000 40000 30000 20000 10000 0 -10000 an a GDP per Capita GDP for Different Countries y = -2562.9x + 34256 Countries Standard Deviation: 13806 Variance: 190615523.8 Canada’s Z-Score: 1.285 Mean: 13573 Median: 8100 Mode:-------- Analysis Minimum: 1100 Maximum: 40100 Range: 39000 Quartile 1: 2200 Quartile 2: 8100 Quartile 3: 29400 Interquartile Range: 27200 40000 30000 20000 10000 y = -2439.4x + 32454 Standard Deviation: 13155 Variance: 171996406.7 Canada’s Z Score: 1.281 In di a M So e x ico ut h Af ric a C ha d Ke ny a Su d Pa an kis t Vi an et na m a hi n C zil Br a SA U K U pa n e Ja nc Fr a an a -10000 da 0 C Average Annual Income (US$) Average Income of Different Countries Country Mean: $12939 Median: $7480 Mode:------- • • • • Quartile 1: $2060 Quartile 2: $7480 Quartile 3: $27650 Interquartile Range: $25590 Analysis • Minimum: $1020 • Maximum: $37500 • Range: $36480 Comparisons GDP per Capita: y=-2562.9x+34256 Average Income: y=-2439.4x+32454 Income and GDP Relation Average Income (US$) • 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. y = 0.9496x - 121.41 R2 = 0.9994 40000 30000 20000 10000 0 0 10000 20000 30000 GDP per Capita 40000 50000 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 newlyindustrialized and developing countries. This shows the large separation in the world between the wealthy and non-wealthy countries. • I was wrong in predicting that newlyindustrialized countries would have GDP levels close to developed countries. Instead, they are closer to developing countries. 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 Hypothesis • I predict that the countries that follow the Christian religion will have lower death rates than countries following Islam. • I think that countries supporting religions other than Christianity and Islam will have death rates similar to Islamic countries. Information on Religion Christianity (8/15) =53% Islam (3/15) =20% Other (4/15) =27% Distribution of Religions Christ ianit y Islam Ot her Therefore this may lead to bias in the question because the distribution of religions across the 15 countries are not equal Death Rates The death rate is the amount of people that die for every 1000 people. It is calculated annually. Death Rates Death Rate 20 15 10 5 0 0 2 4 y = 0.1798x + 8.1428 Canada-1 France-2 Japan-3 UK-4 USA-5 Brazil-6 China-7 India-8 Mexico-9 South Africa-10 Chad-11 Kenya-12 Sudan-13 Pakistan-14 Vietnam-15 6 8 10 12 14 Countries (1-15 in order) Standard Deviation: 3.1266 Variance: 9.7759 Canada’s Z Score: -0.7008 Mean: 9.5813 Median: 9.14 Mode: -------- 16 Analysis Quartile 1: 7.39 Quartile2: 9.14 Quartile3: 10.38 Interquartile Range: 2.99 Average Death Rates Comparisons For Christian Countries… 9.85 For Islam Countries… 11.83 For “other” Countries… 7.35 Death Rate Death Rates vs Religion 14 12 10 8 6 4 2 0 Christianity Islam Religion Other 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. 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 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. Life Expectancy • Life Expectancy is how long the average person is expected to live in a certain country. It is calculated annually. Standard Deviation… 11.3591 Variance… 129.0302 Canada Z Score… 1.1327 Mean… 66.5627 Median… 69.2700 Mode… --------- Analysis • Minimum: 47.98 • Maximum: 80.70 • Range: 32.72 To view GDP Graph Click Here Comparisons GDP vs Life Expectancy Life Expectancy 100 Life Expectancy: y=-1.85x+81.425 GDP per Capita: y=-2562x+34256 80 60 40 20 0 0 10000 y = 0.0006x + 57.731 2 R = 0.6091 20000 30000 40000 50000 GDP per Capita 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. • 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. Summary 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 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. Population Growth Rate • 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% Growth Rate Projections from 2005-2010 Country Standard Deviation: 0.8447 Mean: 1.2426 Variance: 0.7136 Median: 1.12 Canada’s Z-Score: 0.4056 Mode: -------- Vietnam Sudan Chad Mexico China USA Japan 3.5 3 2.5 2 1.5 1 0.5 0 -0.5 Canada Growth Rate % Population Growth Rate 2005-2010 y = 0.1286x + 0.2138 • 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 Analysis Comparison To view the Average Income Graph Click Here Average Income vs Growth Rate y = -4E-05x + 1.8028 2 Growth Rate % R = 0.4516 3.5 3 2.5 2 1.5 1 0.5 0 -0.5 0 10000 20000 30000 Average Annuall Income ($) 40000 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 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. 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. References • www.wikipedia.org/wiki/List_of_countries_by_po pulation_growth_rate • www.os-connection.com/pop • www.web.worldbank.org • estat.statcan.ca THANK YOU Math problems? Call 1-800-[(10x)(13i)2]-[sin(xy)/2.362x].