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Welcome to the Section on Statistical Education!

The Section on Statistical Education promotes the teaching and learning of statistics by offering opportunities for all teachers. Teachers include academics, K-12 teachers, as well as informal or formal education in a professional context like business, journalism, medical research, consulting, and policy making.

The section’s active involvement include:

• Offering opportunities for all statistical educators to share and discuss ideas through professional meetings, online discussion groups, and personal connections made through the section.

• Providing educational resources for the extended statistical community, including research findings, professional development, and funding opportunities.

• Creating and shaping policies of the ASA and professional communities regarding educational innovations.

If you are not yet a member but you are interested in discussing pedagogy, sharing resources, or shaping policies, join the Section on Statistical Education.


Section News

Newsletter June 2016

JSM 2016: Statistical Education Sessions, Schedule

ASA 2016 election results for our section

Revised Section Charter

Chair's welcoming message for 2016


Special Issues on Statistical Education

Special double issue of CHANCE (volume 28, #4): Nurturing Statistical Thinking Before College

Special issue of TAS (volume 69, #4): Statistics and the Undergraduate Curriculum


2016 GAISE update

Draft of revised GAISE college report


Statistical Education Section Speed Session Award

The first ever Speed Session Award given by our section was awarded for JSM 2015.

Winner: Paul Stephenson, Grand Valley State University, "Reinforcing Experimental Design with Activities"

Honorable Mention: Michael Posner, Villanova University, "Are Pie Charts Really So Bad?  An Experiment on Visualization"


Mission Statement

Statistics is the science of learning from data. Our mission is to promote the teaching and learning of statistics at any level for any audience. Specifically we will:

  • Advise the Association on the educational elements of the ASA strategic plan, including the need for education on the role and value of statisticians to the following audiences:
    • Management in business and government
    • Professionals such as journalists, lawyers and medical personnel
    • Public policy makers at state, national and international levels
    • K-12 policy makers, administrators and teachers
    • Academic non-statisticians
  • Promote research and practice to improve statistics education and statistical literacy
  • Support the dissemination of professional development and funding opportunities, teaching resources and research findings in statistical education.
  • Improve the pipeline from K-12 through colleges to statistics professionals.


  • Help ASA achieve strategic goals, in collaboration with external entities
  • Expanded professional development opportunities
  • Improved teaching
  • Improved cooperation between statistics education researchers and practitioners in their role as statistics educators
  • Improved pipeline



Privacy Policy

Code of Conduct

eCOTS 2016 Presentations

All presentations are now available online. The theme this year was “Changing with Technology."


Stats Ed JSM 2015 Presentations

All authors have given permission for their presentations to be uploaded to our website. All copyrights remain with these authors.

A. John Bailer, Undergrad and master's curriculum

Silas Bergen, Social justice in intro stat

Ann Cannon, Teaching the realities of data

Matthew A. Carlton, Proba in undergrad curriculum

Joe Chang, Proba and stat after calculus 

Julie Couton, What would Fisher do?

Phyllis Curtiss, History of stat in curriculum

Dick De Veaux, Intro stat

Jay Emerson, The future of stat

John D. Emerson, Student collaborative work 

Camille Fairbourn, Lessons from online stat class 

Ulrike Genschel, Leading questions in intro stat 

William M. Goodman, Resampling for paired cohorts

Stacey Hancock, Guidelines for undergrad program 

Jo Hardin, Future undergrad curriculum

Brianna Hitt, Undergrad retention

Tisha Hooks, Teaching study design

Jeff Kollath, Bootstrap and t methods

Kim Massaro, Quantitative writing 

Scott Mcclintock, Freakatistics

Xiao-Li Meng, Undergrad curriculum

Kyle Nickodem, Geometry for regression

Nicola Parker Justice, Development of stat TAs

George Recck, Motivation with daily quizzes 

Andrew Sage, Predicting retention in STEM

Milo Schield, Stat inference for managers

Robert Stephenson, Math placement

Therri Usher, Active learning of data analysis

Robert Vierkant, New curriculum and hiring

Xiaofei (Susan) Wang, Learning stat with R