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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 Gender Birth/Death Rates - PowerPoint PPT Presentation

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  • Population Demographicsand 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 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.

  • 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.

  • QuestionHow are the different measurements of prosperity (GDP per Capita and Average Annual Income) related?

    I willShow a graph that compares countries and their GDPShow a graph that compares countries and their Average IncomeDo a direct comparison of the two graphs to determine a relationship

  • HypothesisI 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.

  • InformationCountries 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 AmountDeveloped34Newly-Industrialized9Developing144

    Sheet:

    1st Qtr

    2nd Qtr

    3rd Qtr

    4th Qtr

    East

    West

    North

    Chart1

    34

    9

    144

    Countries Categorized

    Sheet1

    CategoryAmount of Countries

    Developed34

    Newly-Industrialized9

    Developing144

    Sheet1

    Countries Categorized

    Sheet2

    Sheet3

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

  • Standard Deviation: 13806Variance: 190615523.8Canadas Z-Score: 1.285Mean: 13573 Median: 8100Mode:--------

    Chart3

    31500

    28700

    29400

    29600

    40100

    8100

    5600

    3100

    9600

    11100

    1600

    1100

    1900

    2200

    2700

    Countries

    GDP per Capita

    GDP for Different Countries

    y = -2562.9x + 34256

    Sheet1

    CountryGDPIncome

    Canada3150029740

    France2870027460

    Japan2940028620

    UK2960027650

    USA4010037500

    Brazil81007480

    China56004990

    India31002880

    Mexico96008950

    South Africa1110010270

    Chad16001100

    Kenya11001020

    Sudan19001880

    Pakistan22002060

    Vietnam27002490

    Sum206300194090

    Mean1357312939

    Median81007480

    StDev1380613155

    Variance190615523.8171996406.7

    Sheet1

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    Countries

    GDP per Capita

    GDP for Different Countries

    Sheet2

    Sheet3

  • Analysis

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

  • Standard Deviation: 13155Variance: 171996406.7Canadas Z Score: 1.281

    Mean: $12939Median: $7480Mode:-------

    Chart4

    29740

    27460

    28620

    27650

    37500

    7480

    4990

    2880

    8950

    10270

    1100

    1020

    1880

    2060

    2490

    Country

    Average Annual Income (US$)

    Average Income of Different Countries

    Sheet1

    CountryGDPIncome

    Canada3150029740

    France2870027460

    Japan2940028620

    UK2960027650

    USA4010037500

    Brazil81007480

    China56004990

    India31002880

    Mexico96008950

    South Africa1110010270

    Chad16001100

    Kenya11001020

    Sudan19001880

    Pakistan22002060

    Vietnam27002490

    Sum206300194090

    Mean1357312939

    Median81007480

    StDev1380613155

    Variance190615523.8171996406.7

    Sheet1

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    Countries

    GDP per Capita

    GDP for Different Countries

    Sheet2

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    Country

    Average Annual Income (US$)

    Average Income of Different Countries

    Sheet3

  • AnalysisQuartile 1: $2060Quartile 2: $7480Quartile 3: $27650Interquartile Range: $25590

    Minimum: $1020Maximum: $37500Range: $36480

  • 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. ComparisonsGDP per Capita: y=-2562.9x+34256

    Average Income: y=-2439.4x+32454

    Chart5

    29740

    27460

    28620

    27650

    37500

    7480

    4990

    2880

    8950

    10270

    1100

    1020

    1880

    2060

    2490

    Average Income (US$)

    GDP per Capita

    Average Income (US$)

    Income and GDP Relation

    Sheet1

    CategoryAmount of Countries

    Developed34

    Newly-Industrialized9

    Developing144

    CountryGDP per CapitaAverage Income (US$)

    Canada3150029740

    France2870027460

    Japan2940028620

    United Kingdom2960027650

    United States4010037500

    Brazil81007480

    China56004990

    India31002880

    Mexico96008950

    South Africa1110010270

    Chad16001100

    Kenya11001020

    Sudan19001880

    Pakistan22002060

    Vietnam27002490

    STDEV13806.358093629313114.7400533395

    Varience190615523.809524171996406.666667

    Mean13753.333333333312939.3333333333

    Median81007480

    2559016801

    177471.2810776272

    1.285455599

    Sheet1

    Canada

    France

    Japan

    UnitedKingdom

    United States

    Brazil

    China

    India

    Mexico

    SouthAfrica

    Chad

    Kenya

    Sudan

    Pakistan

    Vietnam

    GDP per Capita

    Country

    GDP per Capita

    GDP for Different Countries

    Sheet2

    Average Income (US$)

    Countries

    Average Anual Income (US$)

    Average Income of Different Countries

    Sheet3

    Average Income (US$)

    GDP per Capita

    Average Income (US$)

    Income and GDP Relation

  • SummaryBased 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.

  • Question 2What is the primary religion in a country, and is that related to the death rate in that country?

    I willShow a graph demonstrating the religion in each country usedShow a graph comparing each country and its death rateCompare the two demographics to see if there is a relationship

  • HypothesisI 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 ReligionChristianity (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

    Chart1

    53

    20

    27

    Distribution of Religions

    Sheet1

    CountryGDPIncomeCountryReligion

    Canada3150029740CanadaChristianityChristianity53

    France2870027460FranceChristianityIslam20

    Japan2940028620JapanShintoismOther27

    UK2960027650United KingdomChristianity

    USA4010037500USAChristianity

    Brazil81007480BrazilChristianity

    China56004990ChinaConfucianism

    India31002880IndiaHinduism

    Mexico96008950MexicoChristianity

    South Africa1110010270South AfricaChristianity

    Chad16001100ChadIslam

    Kenya11001020KenyaChristianity

    Sudan19001880SudanIslam

    Pakistan22002060PakistanIslam

    Vietnam27002490VietnamBuddhism

    Sum206300194090

    Mean1357312939

    Median81007480

    StDev1380613155

    Variance190615523.8171996406.7

    Sheet1

    Countries

    GDP per Capita

    GDP for Different Countries

    Sheet2

    29740

    27460

    28620

    27650

    37500

    7480

    4990

    2880

    8950

    10270

    1100

    1020

    1880

    2060

    2490

    Country

    Average Annual Income (US$)

    Average Income of Different Countries

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