Rguroo tools for teaching proportion inference using the binomial exact and the normal-theory methods

Most students have a better conceptual understanding of counts than proportions.

In this webinar, Dr. Mori Jamshidian of California State University, Fullerton, will show how inference about a population proportion can be taught using sample counts rather than the commonly used sample proportion. This will then lead us to introduce the binomial exact method.

Dr. Jamshidian will also demonstrate Rguroo’s simulation and graphical tools that aid in teaching sampling distribution of sample proportions and show Rguroo’s functions for applying the large sample normal-theory methods.


Download the slide deck.

Download the RGR files generated during the webinar:
Proportion inference functionDotplot sample proportionProbability calculator and random generation

Using Rguroo you can upload the above RGR files and recreate all data from the webinar, just like a student would after an interactive lecture.


About the Presenter:

Mori Jamshidian is a CNSM Distinguished Professor in the Mathematics Department at California State University, Fullerton (CSUF), and serves as the Graduate Advisor for the Master of Science in Statistics. His past positions include Associate Professor of Statistics at the University of Central Florida and Senior Statistician at the BMDP Statistical Software. His area of research is broadly in computational statistics with publications in major theoretical and applied journals such as the Journal of the American Statistical AssociationJournal of the Royal Statistical SocietyBiometrica, and Psychometrika. He is currently an Associate Editor for the Journal of Computational and Graphical Statistics and in the past has served as Associate Editor for The American StatisticianJournal of Statistical Software, and Journal of Statistical Computation and Simulation. His current activities include research in statistics education and the development of statistical software for teaching statistics.