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…
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
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…
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