Hypothesis:
The demographic and ecological variables are number of oil spills per country and number of endangered marine species per country. The relationship that existed between the two variables is, the increase of oil spills could lead to a decrease in marine species and lead to those species becoming endangered.


Background:

Our demographic variable is number of oil spills per country. The variable measure numbers of oil spills countries have. The ecological variable measures the number of endangered marine species per country. It measures how many species in the ocean are in danger. The national unemployment rate which is our intermediate variable, measures how many people are unemployed in the whole country. In other people’s research, oil spills per county measures how many oil spills happen by the country. In endangered marine life per country, it measures how many endangered marine species are in endangered. For national unemployment it measures how many people do not have jobs in the nation. The reason why we chosen number of oil spills per country, national unemployment rates and number of endangered marine life is because the recent rise of oil spills. We wanted to see the damage these oil spills had on these two variables.


Abstract:
The demographic, intermediate, ecological variables are number of number of oil spills per country, national unemployment rate, and endangered marine species per country. The reason why we chose these variables is to discover if the number of oil spills per country have a impact on marine life, and to see if oil spills cause marine specie population to decrease and lead to these species to become endangered. The unemployment rate is to see if the decrease of marine life and oil spills effects on beaches and oceans affect on jobs and the cities economies. The tools we used were, computers, Google docs, Microsoft word and excel. We used sites to help us get information such as data and graphs. The site we used were http://en.wikipedia.org/wiki/Oil_spill, echsapes.wikispaces.com and nationmaster.com. The hypothesis, we had chosen was the number oil spills per country have negative affects on both marine life and increase unemployment rates. From the research we collected, it did not support our hypothesis.

Analysis:
The relationship we saw between number of oil spills and number of endangered marine life is almost non-existant. Oil spills don’t always occur in oceans and happened only a few times. Their effect cannot impact marine species drastically enough to cause the species to become endangered because the ocean is so vast, which dissolves the oil.
marine_species_-_oil_spills.JPG
Overfishing is the main cause of endangered marine life because unlike oil spills, over fishing is year around and constantly happens. The relationship I saw between number oil spills and the unemployment rate was also non-existant. The relationship the two variables isn’t much, oil spills can have effects on employment, only if the oil spill is large enough to cause unemployment to tourism and companies that depend on tourist. Other reasons why they don’t affect employment are because oil spills don’t happen a great deal and to have such effect, the oil spill must be in areas that have high tourism.
unemployment_-_oil_spills.JPG
The variables, of unemployment rates and endangered marine species are the least likely to have any kind of relationship. From the given relationship between my demographic and intermediate variables, and my ecological variables, we could predict, if there was a large oil spill in an area large enough, it could have a strong negative effect on marine life and employment.
marine_species_-_oil_spills.JPG
If an oil spill large enough such as the BP oil spill, could damage marine life and increase unemployment rate. From the relationships I observed, it does not support my hypothesis. All three variables have non-existant relationships. The main cause they have no ties to each other, is because oil spills don’t occur a lot. For oil spills to have effect it must happen many times or be large enough in a populated area.
Procedure:

  1. First, we researched all our variables.
  2. From there we printed information.
  3. After that we made charts to compared number of oil spills per country to number of endangered marine species per country.
  4. Soon after, we began comparing our data and research.

The technological tools we used were the Internet and computers. We also used websites to help us get data and graphs.

The site we used for our demographic variable, which is number of oil spills per country, was http://en.wikipedia.org/wiki/Oil_spill.

For our intermediate variable, which is nation unemployment rate, we used http://indexmundi.com/ and nationmaster.com

For our ecological variable, which is number of endangered marine species per country, we used https://spreadsheets.google.com/ccc?key=tYrEXu8zzrPw_b6C775X-iA.


The way we found our demographic and ecological variables is we search online for our variables. During our research we need an intermediate variable, since oil spills cause negative affects on beaches and marine life, I thought it could have some effect on jobs and employment. Since the Bp oil spill, many fishermen were out of jobs. We want to see if it really has an effect on jobs.



I'd like to thank Levi Simons for putting up with our crap, and Dangchez for giving us a good example.