Teaching the Statistical Investigation Process with Randomization-Based Inference

Presented by

Nathan Tintle, Dordt College

Tuesday, January 14th, 2014; 9:00 am - 4:30 pm Eastern time


This full day workshop is intended for faculty members who have experience with or soon will be teaching introductory statistics. 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 presenter will also offer implementation and assessment suggestions during these activity-based sessions and discussion sessions based on the experiences of the Introduction to Statistical Investigations curriculum development project (authors: Nathan Tintle, Beth Chance, George Cobb, Allan Rossman, Soma Roy, Todd Swanson, and Jill VanderStoep). More information about the project on which this workshop is based can be found at: www.math.hope.edu/isi.

Tuesday, January 14, 2014
9:00 am - 4:30 pm Eastern time
Marriott Inner Harbor
Stadium Ballroom 5
110 South Eutaw Street
Baltimore, Maryland 21201

Advance registration is required, and confirmation of acceptance will be sent via email.

Supported by NSF DUE # 1140629.

Nathan Tintle
Nathan Tintle