Resource Library

August 10, 2010 T&L webinar presented by Diane Fisher (University of Louisiana at Lafayette), Jennifer Kaplan (Michigan State University), and Neal Rogness (Grand Valley State University) and hosted by Jackie Miller(The Ohio State University). Our research shows that half of the students entering a statistics course use the word random colloquially to mean, "haphazard" or "out of the ordinary." Another large subset of students define random as, "selecting without prior knowledge or criteria." At the end of the semester, only 8% of students we studied gave a correct statistical definition for the word random and most students still define random as, "selecting without order or reason." In this session we will present a classroom approach to help students better understand what statisticians mean by random or randomness as well as preliminary results of the affect of this approach.

Experts often possess more data than judgment. is a quote by former U.S. four-star general and Secretary of State Colin L. Powell (1937 - ). The quote is found in lesson three in the article "Quotations from Chairman Powell: A Leadership Primer" by Oren Harari originally published in 1996 in "Management Review".

February 8, 2011 T&L webinar presented by Uri Treisman (Charles Dana Center, University of Texas at Austin) and hosted by Jackie Miller (The Ohio State University). Developmental education in America's community colleges has been a burial ground for the aspirations of our students seeking to improve their lives through education. Under the leadership for the Carnegie Foundation for the Advancement of Teaching and the Charles A. Dana Center, nineteen community colleges and systems are building accelerated pathways to and through developmental education with the goal of helping students with low levels of mathematical preparation complete a college credit bearing, transferable statistics course within one year. Uri will describe the work to date, the challenges the initiative faces, and the underlying ideas of improvement science that are driving its development.

...the most misleading assumptions are the ones you don't even know you're making is a quote by English author Douglas Noel Adams (1952-2001) that can be used in teaching the importance of understanding the assumptions being made that underlie statistical inference. The quote is from the 1990 book "Last Chance to See" that was co-written with Mark Carwardine. It is part of a passage that Adams wrote about his experience watching a silverback gorilla in Zaire and trying to imagine what the animal was thinking about him.

A joke that might be used in discussing correlation - especially in health studies. The joke is adapted from a joke told by comedic magician Omar Covarrubias. The revised joke was written by Larry Lesser, University of Texas at El Paso, for use in the statistics classroom.

Every time man makes a new experiment he always learns more. He cannot learn less. is a quote of American inventor and author Richard Buckminster Fuller (1895-1983). The quote appears in his 1963 book "Operating Manual for Spaceship Earth".

A cartoon for use in discussions about the value of an active learning environment (Showing a traditional lecturer talking to no one and running out of blackboard space on a desert island). The cartoon is the work of Theresa McCracken and appears as #5924 on McHumor.com Free for non-profit use in statistics course such as in lectures and course websites.

A cartoon for use in discussions about the value of using a placebo in an experiment. The cartoon is the work of Theresa McCracken and appears as #7813 on McHumor.com Free for non-profit use in statistics course such as in lectures and course websites.

A cartoon for use in discussions about the value of using a placebo in an experiment (especially if the results are to be analyzed using a t-test). The cartoon is the work of Theresa McCracken and appears as #6864 on McHumor.com Free for non-profit use in statistics course such as in lectures and course websites.

July 27, 2010 Activity Webinar presented by Herle McGowan, North Carolina State University and hosted by Leigh Slauson, Capital University. Extra materials available for download free of charge. In this webinar, the webinar discusses the end-of-semester project that is used in North Carolina State's introductory statistics course. This project supports statistical thinking by allowing students to apply knowledge accumulated throughout the semester. Students are presented with a research question and must design and carry out an experiment, analyze the resulting data and form a conclusion over the course of several class periods.