Multimedia

• Video: Correlation and Causation

This 6 minute 39 second video can be used to teach the difference between correlation and causation. For example, that a relationship between X and Y might be explained by X causing Y, Y causing X, or a third factor that drives them both. The video is episode #109 (Nov 10, 2009) in the Psych Files podcast series produced and hosted by Michael A. Britt, Ph.D. at www.thepsychfiles.com. Video is free to use in the classroom or on course websites under a non-commercial ShareAlike creative commons license.

• Webinar: Using Baboon "Mothering" Behavior to Teach Permutation Tests

September 14, 2010 T&L webinar presented by Thomas Moore(Grinnell College) and hosted by Jackie Miller(The Ohio State University). Permutation tests and randomization tests were introduced almost a century ago, well before inexpensive, high-speed computing made them feasible to use. Fisher and Pitman showed the two-sample t-test could approximate the permutation test in a two independent groups experiment. Today many statistics educators are returning to the permutation test as a more intuitive way to teach hypothesis testing. In this presentation, I will show an interesting teaching example about primate behavior that illustrates how simple permutation tests are to use, even with a messier data set that admits of no obvious and easy-to-compute approximation.
• Webinar: Linear Statistical Models as a First Statistics Course for Math Majors

October 12, 2010 T&L webinar presented by George Cobb(Mount Holyoke College) and hosted by Leigh Slauson (Capital University). What's the best way to introduce students of mathematics to statistics? Tradition offers two main choices: a variant of the standard "Stat 101" course, or some version of the two-semester sequence in probability and mathematical statistics. I hope to convince participants to think seriously about a third option: the theory and applications of linear models as a first statistics course for sophomore math majors. Rather than subject you to a half-hour polemic, however, I plan to talk concretely about multiple regression models and methodological challenges that arise in connection with AAUP data relating faculty salaries to the percentage of women faculty, and to present also a short geometric proof of the Gauss-Markov Theorem.
• Webinar: Developing a Statistics Teaching and Beliefs Survey

November 9, 2010 T&L webinar presented by Jiyoon Park and Audbjorg Bjornsdottir (University of Minnesota) and hosted by Jackie Miller (The Ohio State University). This webinar presents the development of a new instrument designed to assess the practices and beliefs of teachers of introductory statistics courses. The Statistics Teaching Inventory (STI) was developed to be used as a national survey to assess changes in teaching over time as well as for use in evaluating professional development activities. We will describe the instrument and the validation process, and invite comments and suggestions about its content and potential use in research and evaluation studies.
• Analysis Tool: OStats 4 (Data Visualization)

OStats is a simple tool for data visualisation and statistical analysis, particularly aimed at helping students learn statistics.

• Stat.Istics site

This site is a collection of interesting stories in the news that relate to statistics, major league baseball standings, links to textbooks, and links to applets. It also contains some reflections on statistical issues from retired professor John Marden (from University of Illiois at Urbana-Champaign).

• Experiment Resources

This site is a collection of resources related to experiments. The site includes references, resources, and articles related to the scientific method, experimental research, ethics in research, and research design. It also includes tips on writing scientific papers, and there are several statistics tutorials on the site. Another interesting feature of the site is a collection of case studies that include descriptions of famous research studies in fields like social psychology, sociology, physics, biology, and medicine.

• Quote: Wright on Data Analysis

Conducting data analysis is like drinking a fine wine. It is important to swirl and sniff the wine, to unpack the complex bouquet and to appreciate the experience. Gulping the wine doesn't work. is a quote by British quantitative cognitive psychologist Daniel B. Wright. The quote is found in his 2003 article "Making friends with your data: Improving how statistics are conducted and reported" in the "British Journal of Educational Psychology", volume 73 page 123-136.
• Quote: Rosenberg on Data

Data is the sword of the 21st century, those who wield it well, the Samurai. is a quote from American businessman Jonathan Rosenberg, the Senior Vice President of Product Management at Google Inc. The quote appeared in "The Official Google Blog" on February 16, 2009
• Quote: Reich on Averages

Averages don't always reveal the most telling realities. You know, Shaquille O'Neal and I have an average height of 6 feet. is a quote from American political economist and former Secretary of Labor, Robert B. Reich (1946 - ). The quote was first published on October 6, 1994 in the Business section of "The Chicago Tribune". Robert Reich is 4 foot 10 inches tall. (Picture of Robert Reich is by Michael Collopy)