Listed below are a series of webinar/e-conference style presentations given by faculty using, or considering the use of, SBI methods
Batting for power (using a simulation-based approach)
Allan Rossman and Beth Chance (Cal Poly San Luis Obispo)
October 27, 2015
Reflections on making the switch to a simulation-based inference curriculum
Panelists: Julie Clark (Hollins), Lacey Echols (Butler), Dave Klanderman (Trinity), Laura Schultz (Rowan); Moderator: Nathan Tintle
September 8, 2015
Teaching the statistical investigation process with randomization-based inference
Nathan Tintle (Dordt College) and Beth Chance (Cal Poly San Luis Obispo)
eCOTS 2014
Teaching Randomization-based Methods in an Introductory Statistics Course: The CATALST Curriculum
Bob delMas, University of Minnesota
eCOTS 2014
StatKey – Online Tools for Teaching Bootstrap Intervals and Randomization Tests
with Robin Lock, St. Lawrence University
August 27th, 2013
Using Simulation to Introduce Inference for Regression
with Josh Tabor, Canyon del Oro High School
May 28th, 2013
Introducing inference with bootstrapping and randomization
with Kari Lock Morgan, Duke University
eCOTS 2012
Using Simulation Methods to Introduce Inference
with Kari Lock Morgan, Duke University
December 13th, 2011
Bootstrapping and randomization: Seeing all the moving parts
with Chris Wild, University of Auckland, New Zealand
November 22nd, 2011
Create an Iron Chef in statistics classes?
Rebekah Isaak, Laura Le, Laura Ziegler, and the CATALST Team
June 14th, 2011
Golfballs In The Yard – Using Simulation To Teach Hypothesis Testing
Randall Pruim, Calvin College
January 25th, 2011
“Using baboon “mothering” behavior to teach Permutation tests”
with Thomas Moore, Grinnell College
Sept 14, 2010
“Pedagogical simulations with StatCrunch”
with Webster West, Texas A&M University
July 13, 2010
Concepts of Statistical Inference: A Randomization-Based Curriculum
Allan Rossman & Beth Chance, Cal Poly – San Luis Obispo; and John Holcomb, Cleveland State University
April 14th, 2009
Teaching Statistical Inference via Simulation using R
Daniel Kaplan, Macalester College
October 14th, 2008
