Katherine and Audrey, Generally, I think you did a very good job in your project about analyzing global average temperature data and CO2 emissions levels. I was hoping that all of the projects would involve doing some actual analysis of data, and so it's good that you actually dug into the temperature and CO2 emissions data. But the title of your final project paper sounds almost as if you want to come down on the climate change *denial* side, although you clearly want to say exactly the opposite. It's the deniers who usually talk about "busting the myth" of climate change(!) The first paragraph of the paper gets awfully far into details of distinguishing climate vs. weather rather than laying out what the paper as a whole will say. It would have been better to aim for a more general statement of the topic and then start a new paragraph to discuss how weather deals with specific short time-scale phenomena, while climate deals with longer-term and wider-area averages. You might also have said some more about why scientists accept that there is a connection between CO2 levels and atmospheric temperature earlier on. You mentioned more about the green-house effect and the carbon cycle in your talk at this point, but that was a bit vague and not too detailed. The discussion on page 7 of the paper about the green-house effect could have gone earlier in the overall background section. One potential objection to the method you used would be that, by using the CO2 *emissions* data exclusively, you aren't taking into account how much of that CO2 actually ended up in the atmosphere. There are processes within the global carbon cycle that are continually *removing* CO2 like plant photosynthesis, gas dissolving in sea water, etc. I think the correlation between temperature and CO2 levels would be even more convincing if you had used, or at least mentioned, measurements of atmospheric CO2 concentration levels (like the Mauna Loa data set that we discussed before). It's true that essentially only relates to conditions in the northern hemisphere, but it's a very widely-used and widely-accepted set of measurements because of the way the data is collected. Specific comments on a few sections: Page 2: "our sample size for each analysis was 64" Technically, you are not doing random sampling from a larger population here (except in the sense that the measurements made to generate the average temperature values involved sampling temperatures at various locations, at particular times.) But the there's not a larger population of temperature readings from which these are being taken by some random process. So calling this a "sample size" is not really correct. It is the length (or number of terms) of the time series. Page 5: "This increasing trend of CO2 emissions is, in part, due to global industrialization." Agreed. But then, "Gas turbines and planes were invented in the early 1900, computers in the 1940s, and nuclear power plants in the 1950s." The three inventions you point out here are not the best ones to make your case; they are either not especially large contributors to CO2 emissions (the first two), or essentially irrelevant (nuclear power plants). Nuclear power plants really don't emit CO2 at all since they use nuclear fission to produce heat and drive steam turbines, etc.(!) The really big contributors to CO2 emissions are first, electrical power generation in coal- and to a lesser extent gas-fired power plants. That electricity is used to power computers and other electronics (and LOTS of other things too), but the big CO2 "hit" is coming from the power plants, not the end-uses. Second, and even larger, is transportation via gasoline-powered internal combustion engines in passenger cars and trucks. Other industrial processes using fossil fuels contribute too. Page 9: "There are many things an individual can do in order to delay the progression of climate change." I would say this is probably true ONLY if EVERYONE is doing them. Otherwise, if there are substantial numbers of people going on and consuming and generating CO2 emissions as now, then the overall effect will be that not much changes, unfortunately. Final Project: Annotated Bibliography -- 10/10 Presentation -- 33/35 Paper -- 50/55 Total -- 93/100 (letter: A-)