Nathan Tintle, Beth Chance, George
Cobb, Allan Rossman, Soma
Roy, Todd Swanson, and Jill
The following videos were prepared to give an idea of how we use randomization and
simulation techniques in our introductory statistics curriculum.
Chance Models: Students are led through the first example in
Chapter 1 (Can Dolphins Communicate?) as they discover the logic of
inference using a single proportion. While building on their own
intuition, they use coin flipping to model a null distribution and then
speed up the process with the use of an applet.
Models: In this introduction to chance models we take a quick look
at how we introduce inference during the first week of the semester.
This is done by testing a single proportion. At this point, we do not
use traditional statistics terminology like null hypothesis or p-value.
That will come in the next section.
Proportions: This video shows a simulation-based method in
statistics that can be used to test two proportions. These tests are
sometimes called randomization tests or permutation tests.
Two Means: In
this video we show how to do a simulation-based test for two means
taken from independent samples. This test is quite similar to that of
testing two proportions.
Data: A simulation-based method for testing paired data is shown in
this video. Students at this point would have seen tests for a single
proportion, single mean, two proportions, and two means from
The following vidoes are recordings of online workshops
Teaching Statistics with Simulation-Based Inference (90min)