One of the strengths I saw in my classmate’s proposals was their thoroughness. One of the proposals I read was incredibly in depth as to what they hoped to find and what variables they were going to use to look for it. One of the things that was overlooked on the other hand was the variance within a few of their variables. One problem I noticed was that one group had two predictor variables that I expect to have a fairly strong correlation with each other, and this might cause problems down the road for them. For people doing this project in the future, I would advise future groups to look into the data they can find before they start picking ideas of stuff to research. One of the hardest parts for my group was finding a subject that we were all interested in, and had data for. An easier method would have been to look for a subject you think is interesting, then looking into what data you can find about that subject. This is what led my group to our current topic. Another thing that I feel the need to note on is how the next deadline is a long ways out, with a fairly large chunk of work to be done before it. I would advise groups to get as much done as soon as you can, so that when it starts drifting closer to the deadline they are prepared for it. Also, today in class we went over testing a few variables. Overall in class I found that the code in R wasn’t all that difficult or complicated now that I have learned a little of what to do, but looking back on previous classes R files helped. This also brought to light the reason for doing our R guides. If in the future I am told to do something in R, I don’t have much faith in myself being able to do it without looking up some information first. (Assuming it is something more complicated than a simple linear model) But with our R guides, it far easier to look back at your own work and figure out what you’re supposed to do that looking at another person’s guide. One thing that is still confusing to me is how the wording of some questions are meant to be interpreted. In class one example was brought up where the wording was slightly vague. This lead me to structure tests differently, and in the end I came out with a different outcome. It was still interesting to do the tests and look at the results you would find, but it also brought to light that some things need to be worded more carefully if you want a specific result. In the work place I understand now that before I jump into a project, sometimes it is better to clarify what I am about to do and make sure that it is what the employer is looking for. Another thing this brought to light was how important partial F tests are. Throughout the course of Thursday we were told to test 3 separate data sets, and in most of them a partial F test was what we used to find an answer. I don’t know if this is representative of what we would expected to do in the work place. There is a real possibility that we did more partial F tests though because it was the material we covered on Thursday. Either way the extra practice was a great experience to have.