# Lecture Examples

• ### Lesson Plan: Univariate Statistics

This is a lesson plan for 16 to 17 year old students that focuses on developing students' understanding of the relative strengths and weaknesses of various representations of real world univariate statistics. Students work in groups to research different visual representations and create a wiki page of their findings.

• ### **Practice Classifying Statistical Problems

On this site, students can practice classifying statistics problems. They first click to check the statistical methods that they want to practice classifying. Then they click the "Submit" button to get a description of a research project that involves a statistical technique. Students then click on the technique that will most likely be used in the project. If they choose the incorrect answer, they must read the hint and try again. When they get something correct, they click on the "Next" button to try another problem.
• ### Joke: The Top Student

A joke to introduce the idea of asymptotic distributions. The joke was written by Dennis Pearl of The Ohio State University.

• ### Statistics JAVA Applets

This is an extensive collection (and a continuously expanding collection) of applets on topics that include probability, descriptive statistics, sampling distributions, Monte Carlo simulation, Buffon's coin problem, chi-square, p-values, correlation, and more. There is even a random number generator that is part of the collection.

• ### TeachingWithData.org

TeachingWithData.org is portal of teaching and learning resources for infusing quantitative literacy into the social science curriculum. A Pathway of the National Science Digital Library, TwD aims to support the social science instructor at secondary and post-secondary schools by presenting user-friendly, data-driven student exercises, pedagogical literature, and much more! Resources are available on a wide range of topics and disciplines.

• ### Webinar: Facilitating Student Projects in Statistics

December 14, 2010 T&L webinar presented by Dianna Spence & Brad Bailey (North Georgia College & State University) and hosted by Jackie Miller (The Ohio State University). When instructors have their students implement "real-world" projects in statistics, a number of questions arise: Where can students locate real data to analyze? What kinds of meaningful research questions can we help students to formulate? What aspects of statistical research can be covered in a project? What are reasonable methods for evaluating the student's work? The presenters will share resources developed during an NSF-funded study to develop and test curriculum materials for student projects in statistics, using linear regression and t-test scenarios.
• ### 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).

• ### Cartoon: Probability 101

Cartoon to be used in talking about probability models (the process of drawing objects from an urn as a basic probability model goes back at least to Jacob Bernoulli's 1713 paper Ars conjectandi). Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.
• ### Cartoon: The Relationship Graph

A cartoon to help in teaching the importance of labeling the axes of a graph. The cartoon is number 833 (December 2010)  from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a creative commons attribution-non-commercial 2.5 license.

• ### Quote: Varian on Statisticians

I keep saying that the sexy job in the next 10 years will be statisticians is a quote from American economist Hal R. Varian (1947 -) quoted in an August 5, 2009 "New York Times" article "For Today's Graduate, Just One Word: Statistics," written by reporter Steve Lohr. The article may be found online at www.nytimes.com/2009/08/06/technology/06stats.html