I remember a few things about my semester of intro to stats. In general we learned about certain types of analysis of data. Some key terms that pop into my mind are things like mean, average, p-value, standard deviations, and equations to relate all of the values. I also remember the tests including all of these things as well as another layer of complexity, as they would give us limited information and ask us to produce a conclusion about how likely a certain outcome is. I few other students lived on my floor so studying outside of lecture could clear up any misunderstandings I still had and I did pretty well in the class. Another thing that I remember was that our teacher wanted us to be able to apply our new skills to the real world and realize that certain interpretations of data can be misleading, like when certain claims are made on tv. The difference between correlation and causation was also discussed in a particularly funny class day, when she showed us a bunch of bogus statistics like levels of crime and levels of cheese consumption being correlated across states, meaning of course that cheese causes crime. This is most of what i remember from intro to statistics.
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