Don't know what you don't know about what you don't know

The hardest part about Mod1 was actually figuring out what our results were. Sifting through data sets and grudgingly wrastling with Excel is personally not a fun time for me, so I kept trying to put the graphing off until later. Once my teammates finished graphing, however, a lot of the writing assignments became a lot easier. I was no longer blindly maneuvering my words through bullet points and leaving bracketed text to be filled later. By looking at completed graphs, I was able to confidently say that some of our results were odd, inconclusive, and overall statistically insignificant. It was tough to write in our results sections that all of the work we did didn't quite matter - I know this is a part of the researcher way of life, but it is my first encounter with it. I remember spending all of lab on day 7 fighting MatLab to make my dissociation curve graph for the DSF assay. I worked with Josephine through the whole lab period trying to get my curve to stop looking like literal trash. I finally got it and it was really rewarding. My main take away from this whole module is that you don't know what you don't know about what you don't know until you know. And for me, the key enlightenment step was actually understanding what excel/matlab/etc. was pumping out.



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