Tania Gonzalez
Yetssenia Tornez
December 14th, 2009
~APES Benchmark~
Abstract
1.In our research project we used ecological footprint as the intermidiate variable, electricity consumption as the ecological variable, and population as the demogrphic variable.
2.
We wanted to see if the connections between these three variables was as close as people said. We studied these variables because we thought that they had a strong connection and it seems that the more the population the more we consume and leave behind. Since science is all about answering your questions and proving them right or wrong, that's what we did. We didn't expect to get exact answers or the right ones, we just wanted to test our hypothesis.

3.I used the resources on the
www.echsapes.wikispaces.com There we will found the site http://www.nationmaster.com/statistics. There we found different groups of demographics, they are all interesting to read. Another cool website is www.wolframalpha.com because they you just type in anything and it gives you a bunch of stuff.

4.Since our population keeps increasing I think that increases our ecological footprint. The more population increases the electricity consumption does to, leaving ecological footprints. our reasearch barely supported. it wasn't as high as i expected it to be
Hypothesis: Since our population keeps increasing I think that increases our ecological footprint. The more population increases the electricity consumption does to, leaving ecological footprints.

Procedure
1. For this project we used the internet as our tool. There really arent books that come in handy for this type of reasearch.
2. We created our hypothesis after searching our demographic and ecological variable.

3.We found our demographic and ecological value by comparing them first. We would first say "what would happen if this happened." and get our information to start researching our variables.
4. Our intermediate value we left it for last. We didnt take it into notice until the end, when we had to start comparing them.

Background
1. What does your variable measure?
2. What is this variable used to measure in other people's research?
3. Why did you choose your specific demographic, intermediate, and ecological variables?
Analysis
ALL CHARTS ARE HERE
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1. There is more electricity consumption when the population is higher.
Remember, you can use any of the functions listed in Microsoft Excel, but the best fit function will have the smallest r-squared value.
2.When the population is higher, there is a bigger ecological footprint.
Even though the connection isn't as high but it does increase.3. The ecological footprint tends to be higher when there is more electricity being consumed. 4. There is a higher ecological footprint when there is more electricity consumption because there are more resources being used. When someone consumes electricity, they are also consuming plastics, oils, and other non-environmentally friendly material causing the ecological footprint to increase.5. No, the relationships we observed did not support our hypothesis, due to R Squared.
Conclusion
1. Our research did not support our hypothesis because there was no close relationship between the two variables. The relationship was not as close as we'd thought it'd be.

2. Some limitations in our research were
  • Some countires didn't have the info
  • Some countries weren't even on the list
  • some didn't seem accurate
3. A new variable to study would be fossil fuel consumption. Currently we are running out of this really quick. Fossil fuel are used to create electricity and gas, which people consume alot.

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Tania Gonzalez
Yetssenia Tornez
Catherine Delima
Tiffany Tam



Abstract
1.Our two original water quality variables are Dissolved oxygen, biological oxygen demand, pH. We chose these variables because they seem to have a connection and we want to figure out if its true.
2. Why did you study these variables? we wanted to study these variables because we believe there is a connection with the variables that we collected from the sites and we would like to use these variables to prove our group's hypothesis. We think that when all the trash dissolves, the bacteria will also disappear because there will be no work for them to do.

3. What method(s) and tools did you use to do your research? For our experiment we used pH scale and tubes to put in our water variables from different places. Once we put in the water in the testing tubes we had to put in pills inside to let it dissolve, once it was dissolved we could put it next to some color scale and identify where it belonged.
4. What was your hypothesis and did your research support it?
Our Hypothesis was;As the Biological Oxygen Demand increases, the amounts of Dissolved Oxygen begins to decrease due to bacteria that is in the water to decompose the trash. When all the trash is decomposed, the bacteria will die off, allowing the amounts of Dissolved Oxygen to increase.

Hypothesis
- As the Biological Oxygen Demand increases, the amounts of Dissolved Oxygen begins to decrease due to bacteria that is in the water to decompose the trash. When all the trash is decomposed, the bacteria will die off, allowing the amounts of Dissolved Oxygen to increase


Procedures
1. The tools that were used for this project were test tubes, tablets, and buckets. The tablets were used to create a chemical reaction that would change the color of the water being tested according to how much Dissolved Oxygen was in the water.


2. We recorded the information on a spread sheet for each site.
3. When doing our research we used Biological Oxygen Demand and Water Quality Index as our intermediate variable.

Background
1). Our group's variable chose the biological oxygen demand, pH value and the dissolved oxygen. Biological oxygen demand measures the oxygen used by the microorganisms to decompose the waste like sewage, dead plants and trash. pH value measures acidity or alkalinity of the water. Dissolved water measures the amount of oxygen dissolved in the water.
2). Water quality Program uses these variable to regulate water quality to inform the development and application of water quality criteria for protecting and restoring the biological, physical, and chemical integrity of water resources in the United States.(http://www.epa.gov/ord/npd/waterqualityresearch-intro.htm)
3). My group chose these variables because there is a connection between the biological oxygen demand and dissolved oxygen and pH value. The more trash,waste and sewage in the water, the more bacteria presents in the water to decomposed it; the biological oxygen demand increases. The more bacteria presents in the water, the more oxygen they have to consume; the amount of dissolved oxygen in the water decreases. The higher amount biological oxygen demand, the more basic pH value goes.

Analysis
1).The relationship we see is a mild correlation, that the r squared value is 0.1681 and there might be a connection; the dissolved oxygen deceases as the BOD decreases.

2.)The relationship we see between our first and second variable is a mild correlation, where there might be a connection. The r squared value is 0.2875.
3.)The relationship we see between our second chosen water quality variable and BOD WQI is a weak correlation. The r squared value is 0.1821.
4.)We predict that the dissolved oxygen levels decreases as waste goes into the water. This happens because bacteria decomposes the waste and when all waste is decomposed, the bacteria dies away causing dissolved oxygen levels to increase.
5.)The relationships we have observed does support our thesis, but it is a weak evidence due to the weak correlation.



Conclusion
The relationships we have observed does support our thesis, but it is a weak evidence due to the weak correlation. One of our group mate broke one of the sample and one of the sample was broken which led to incomplete of the data table. Most of our group members did not go to the site and we had to rely on others data and it limited us from our research. Temperature would be our next new variable to support our thesis so that the temperature affects the growth and amount of bacteria.