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Unix shell scripting, Statistical Testing

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We covered two large topics today, the first was a sort of high level overview of different things you can do in Unix, including Unix utilities, scripting, aliases, setting g++ compile flags, and the difference between tcsh and bash.
We then talked a bit more about statistical testing. Basically, if you have two normally distributed groups, the question is: are they the same or different? We use t-testing in this class to figure it out.
You can't know for sure when it comes to random things, so you have to just run as many experiments as you can. We also talked about sample sizes and margin of error. This is a two week overview of a full semester class so we just touch on high level concepts here and use calculators to figure out the results rather than doing the computations ourselves.
We also went over the graph theory competency exam.
We then talked a bit more about statistical testing. Basically, if you have two normally distributed groups, the question is: are they the same or different? We use t-testing in this class to figure it out.
You can't know for sure when it comes to random things, so you have to just run as many experiments as you can. We also talked about sample sizes and margin of error. This is a two week overview of a full semester class so we just touch on high level concepts here and use calculators to figure out the results rather than doing the computations ourselves.
We also went over the graph theory competency exam.