Blog 2

Christopher Caruso

Blog #2

Analysis is the process of using data to study a large subject or problem in order to break it down into its smallest basic elements as a means to learn more about it, and by extension gather more data.  In order to perform a proper analysis on something, one must first gather as much existing data on the subject as possible through the process of making observations before actual analysis begins.  Once enough data is gathered, one might make a hypothesis about the outcome of whatever it is they are trying to analyze.  This will be immediately followed by a series of tests which may or may not conclude in with successful results.  It is through both these successes and failures in the hypothesis, and seeing how the subject is affected by each test, that more data about the subject is gathered.  Several more hypotheses may be created until a desired result is finally reached.  It takes more than just having a desired outcome however; the individual testing the subject must have a sound hypothesis for the outcome that works every single time without fail.  At the current time, however, I am finding it difficult to take these guidelines of analysis and apply them to any of the five possible study projects that I suggested in my first blog entry.  I find this to be extremely concerning, and feel as if I am going to have to tweak or adjust my possible study projects somehow in order to fit within these guidelines.