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Median Age and GDP

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by

David Comeau

on 10 December 2013

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Transcript of Median Age and GDP



Standard Deviation:
Median Age vs. GDP (in millions) of countries

Intro
Raw Data
-Data for GDP is display in millions
-'Original Data' is with no Superpowers
-Additional graphs with Superpowers
Sampling Method
Extraneous Variables
Canada, eh
'Murica
Italy
France
Russia
China
United Kingdom
Japan
Brazil
You are Here
Germany
India
GDP: 1,513,000,000,000
Median Age: 41.5
GDP: 15,940,000,000,000
Median Age: 37.2
GPD: 2,555,000,000,000
Median Age: 38.8
GDP: 4,761,000,000,000
Median Age: 26.7
GDP: 2,394,000,000,000
Median Age: 30.3
GDP: 12,610,000,000,000
Median Age: 36.3
GDP: 4,704,000,000,000
Median Age: 45.8
GDP: 2,375,000,000,000
Median Age: 40.3
GDP: 2,291,000,000,000
Median Age: 40.6
Median age vs Gross Domestic Product in each country.
Hypothesis: We predict that as the median age of a country increases the Gross Domestic Product of that country will also increase.

weak-moderate positive correlation.
Bias

- By using the systematic sampling method
we eliminated as much bias as possible.
- All data collected is common knowledge and therefore is not subject to bias.


-There are 257 countries in the world
-We eliminated bias by using a systematic sampling method
-We went to www.cia.gov and chose every 3rd country as a data piece

Scatterplots
Histograms
Superpowers
There are many possible extraneous variables including:
- Population
- Natural Resources
- Technology
- War
- Education
- Debt
- Employment
- Health
Mean (average age of countries): 28.9 years
Standard Deviation: 8.34 years
Mean (average of total wealth of countries): $766,952,000,000
Standard Deviation: $2,356,890,000

GDP: 3,250,000,000,000
Median Age: 45.7
Mean: 27.45 years
Standard Deviation: 7.55 years
Histograms Cont.
Mean: $130,570,000,000
Standard Deviation: $282,314,000
r= 0.32
This means the correlation is weak-moderate positive which makes our hypothesis right.

GDP: 1,863,000,000,000
Median Age: 44.2
Santa was Here Here Here!
Box and Whisker Plot
Median Age
GDP
r= 0.36
With the superpowers removed the
correlation increases slightly; 0.04 more.
Causal Relationship and Correlation
Conclusion
Bibliography
Interesting facts
https://www.cia.gov/library/publications/the-world-factbook/fields/2177.html

https://www.cia.gov/library/publications/the-world-factbook/rankorder/2001rank.html

http://en.wikipedia.org/wiki/San_Marino



r value: 0.32
Our prediction of a weak-moderate positive correlation was correct.

Superpowers were all outliers

Next time we would do GDP per capita. This would represent how much money per person.

San Marino
-A sovereign country inside of Italy
-One of the lowest unemployment rates in Europe
-No national debt with budget surplus
-Really high Median age 43.2
-Low GDP 1.3 billion dollars
- Correlation was weak
- GDP is not the only factor affecting median age
- many extraneous variables must be taken into account


-Highest median age is Monaco 48.9
-Highest GDP is the US with 15,680,000,000,000 (15.6 trillion)
-Lowest median age Uganda with 15 years
-Lowest GDP is Tuvalu with 36 million

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