Life Expectancy Lab Report
Tommy George
9/1/14
Marella 4
Correlation Between Life Expectancy and Maximum Temperature
Hypothesis: I expect to find a small negative correlation between life expectancy and maximum temperature because of the many videos we have seen in class. In all of the underdeveloped countries that we have viewed in the videos, the weather was hot.
Procedure:
1. Go to the US census information gateway website.
2. Select “demographic overview” and choose 15 random countries starting at the top of the list and 15 starting from the bottom of the list.
3. Record every country’s 2014 life expectancy in an Excel chart (see chart 1).
4. Go to the weather and climate website.
5. Pick the first country that you chose from the census website. Record the maximum average temperature during the year.
6. Repeat step 5 for every chosen country (see chart 1).
7. Go to the Wikipedia Human Development Index (HDI) website.
8. Find and record every chosen country’s HDI using the “search this website” tool (see chart 1).
9. Create a scatter plot on Excel using life expectancy as the x-axis and maximum temperature as the y-axis (see graph 1).
Conclusion: The correlation of -0.483239068 is a negative moderate correlation. Therefore, countries that have a low life expectancy have a high maximum temperature. Also, …show more content…
countries that have a high life expectancy have a low maximum temperature. My hypothesis was supported, but the correlation was stronger than what was expected.
Discussion: A reason that life expectancy and maximum temperature are correlated is malaria.
Malaria is a disease spread by mosquitoes that is very deadly. For malaria to spread, there needs to be many mosquitoes that reproduce often to create more of those disease-carrying insects. For mosquitoes to lay eggs, they need two things. The first is a small, standing puddle of water, which is not that important for this report. The second, more importantly, is that the temperature needs to be from 35°C to 37°C (Malaria.com). Since the countries that have lower life expectancies have maximum temperatures that range from 38° to 42°, proves that these two variables
correlate.
There is one outlier in the data: Uganda with a life expectancy of 54 years and average maximum temperature of 23°C. Uganda has such a low life expectancy because of HIV and AIDS. Presently, 7.2% of Uganda’s population has HIV, which is about 1.4 million people. Around 1.1 million children were orphaned in 2011 due to the death of parents from the HIV virus (Avert.org). These children have an even shorter life expectancy as there is no one to care for them anymore. They do not have a shelter to live under, which brings up the subject of poverty. Sixty-three percent of people in Uganda live in poverty (Outreachuganda.org). They cannot obtain fresh water or enough food, and starvation and dehydration are common deaths, which in turn, decreases the life expectancy once again. When I removed this outlier, the correlation changed to -0.615131848, which made it a stronger correlation.
This correlation and research is significant because it shows that certain areas of the world are more of a danger to live in than others without the proper medicine because malaria is a very common way of death. This also informs the world that malaria vaccines are very important and can save your life when in a malaria-infected country or region.
Works Cited
"HIV & AIDS in Uganda." HIV and AIDS Information and Resources. Web. 30 Sept. 2014.
"List of Countries by Human Development Index." Wikipedia. Wikimedia Foundation, 27 Sept. 2014. Web. 29 Sept. 2014.
"United States Census Bureau." International Programs. Web. 02 Oct. 2014.
"World Weather and Climate Information." Weather and Climate: Average Monthly Rainfall, Sunshine, Temperatures, Humidity, Wind Speed. Web. 02 Oct. 2014.
9/1/14
Marella 4
Correlation Between Life Expectancy and Maximum Temperature
Hypothesis: I expect to find a small negative correlation between life expectancy and maximum temperature because of the many videos we have seen in class. In all of the underdeveloped countries that we have viewed in the videos, the weather was hot.
Procedure:
1. Go to the US census information gateway website.
2. Select “demographic overview” and choose 15 random countries starting at the top of the list and 15 starting from the bottom of the list.
3. Record every country’s 2014 life expectancy in an Excel chart (see chart 1).
4. Go to the weather and climate website.
5. Pick the first country that you chose from the census website. Record the maximum average temperature during the year.
6. Repeat step 5 for every chosen country (see chart 1).
7. Go to the Wikipedia Human Development Index (HDI) website.
8. Find and record every chosen country’s HDI using the “search this website” tool (see chart 1).
9. Create a scatter plot on Excel using life expectancy as the x-axis and maximum temperature as the y-axis (see graph 1).
Conclusion: The correlation of -0.483239068 is a negative moderate correlation. Therefore, countries that have a low life expectancy have a high maximum temperature. Also, …show more content…
countries that have a high life expectancy have a low maximum temperature. My hypothesis was supported, but the correlation was stronger than what was expected.
Discussion: A reason that life expectancy and maximum temperature are correlated is malaria.
Malaria is a disease spread by mosquitoes that is very deadly. For malaria to spread, there needs to be many mosquitoes that reproduce often to create more of those disease-carrying insects. For mosquitoes to lay eggs, they need two things. The first is a small, standing puddle of water, which is not that important for this report. The second, more importantly, is that the temperature needs to be from 35°C to 37°C (Malaria.com). Since the countries that have lower life expectancies have maximum temperatures that range from 38° to 42°, proves that these two variables
correlate.
There is one outlier in the data: Uganda with a life expectancy of 54 years and average maximum temperature of 23°C. Uganda has such a low life expectancy because of HIV and AIDS. Presently, 7.2% of Uganda’s population has HIV, which is about 1.4 million people. Around 1.1 million children were orphaned in 2011 due to the death of parents from the HIV virus (Avert.org). These children have an even shorter life expectancy as there is no one to care for them anymore. They do not have a shelter to live under, which brings up the subject of poverty. Sixty-three percent of people in Uganda live in poverty (Outreachuganda.org). They cannot obtain fresh water or enough food, and starvation and dehydration are common deaths, which in turn, decreases the life expectancy once again. When I removed this outlier, the correlation changed to -0.615131848, which made it a stronger correlation.
This correlation and research is significant because it shows that certain areas of the world are more of a danger to live in than others without the proper medicine because malaria is a very common way of death. This also informs the world that malaria vaccines are very important and can save your life when in a malaria-infected country or region.
Works Cited
"HIV & AIDS in Uganda." HIV and AIDS Information and Resources. Web. 30 Sept. 2014.
"List of Countries by Human Development Index." Wikipedia. Wikimedia Foundation, 27 Sept. 2014. Web. 29 Sept. 2014.
"United States Census Bureau." International Programs. Web. 02 Oct. 2014.
"World Weather and Climate Information." Weather and Climate: Average Monthly Rainfall, Sunshine, Temperatures, Humidity, Wind Speed. Web. 02 Oct. 2014.