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 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

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 CategoryCountry Amount Developed34 Newly- Industrializ ed 9 Developing144

7. CountryGDP per CapitaAverage Income (US$) Canada (1)3150029740 France (2)2870027460 Japan (3)2940028620 United Kingdom (4)2960027650 United States (5)4010037500 Brazil (6)81007480 China (7)56004990 India (8)31002880 Mexico (9)96008950 South Africa (10)1110010270 Chad (11)16001100 Kenya (12)11001020 Sudan (13)19001880 Pakistan (14)22002060 Vietnam (15)27002490

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

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

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

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

12. 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. Comparisons GDP per Capita: y=-2562.9x+34256 Average Income: y=-2439.4x+32454

13. 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.

14. 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

15. 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.

16. 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

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

18. 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

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

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

21. 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.

22. 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

23. 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.

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

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

26. 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

27. Comparisons 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. Life Expectancy: y=-1.85x+81.425 GDP per Capita: y=-2562x+34256 To view GDP Graph Click HereHere

28. 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.

29. 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

30. 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.

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

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

33. 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

34. Comparison 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 To view the Average Income Graph Click Here

35. 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.

36. 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.

37. 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

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