Teaching the Statistical Investigation Process with Randomization-Based Inference

Presented by

Robin Lock, St. Lawrence University; Todd Swanson, Hope College; and Nathan Tintle, Dordt College

Tuesday, January 5, 2016, 9:00am - 4:30pm


The goals of this workshop are to help participants to revise their introductory statistics course in two ways:

  1. Using randomization-based methods, as opposed to methods based on the normal distribution, to introduce concepts of statistical inference, and
  2. Emphasizing the overarching process of conducting statistical investigations, from formulating a question and collecting data through exploring data and drawing inferences to communicating results, throughout the course.

The workshop will provide direct experience with hands-on activities designed to introduce students to fundamental concepts of inference using randomization-based methods. The learning activities involve using freely available applets to explore concepts and analyze real data from genuine research studies. The presenters will also offer implementation and assessment suggestions during these activity-based sessions and discussion sessions based on the experiences of the presenters with randomization-based curricula in their own classrooms. More information about the project on which this workshop is based can be found at: www.math.hope.edu/isi.

Advance registration (but no fee) is required. You will receive an email confirmation and more details about the workshop later.