Today we're going to talk about Bootstrapping. This is one of those fancy sounding things that is actually quite simple and crazy powerful. Today we will walk through how Bootstrapping can be used to test hypotheses with p-values.

For more information about using Bootstrapping to calculate p-values, see:
https://web.stanford.edu/class/archive/cs/cs109/cs109.1178/lectureHandouts/170-samples.pdf
...and...
http://www.stat.ucla.edu/~rgould/110as02/bshypothesis.pdf

And to learn more about the minimum number of measurements required for Bootstrapping, see:
https://stats.stackexchange.com/questions/33300/determining-sample-size-necessary-for-bootstrap-method-proposed-method

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