Resource Library

These slides from the 2014 ICOTS workshop describe a minimal set of R commands for Introductory Statistics. Also, it describes the best way to teach them to students. There are 61 slides that start with plotting, move through modeling, and finish with randomization.

What is correct, what is incorrect, and why?

This complete lesson plan, which includes assessments, is based upon a data set partially discussed in the article "Female Hurricanes are Deadlier than Male Hurricanes." The data set contains archival data on actual fatalities caused by hurricanes in the United States between 1950 and 2012. Students analyze and explore this hurricane data in order to formulate a question, design and implement a plan to collect data, analyze the data by measures and graphs, and interpret the results in the context of the original question.

The STatistics Education Web, also called STEW, is an online collection of peer-reviewed statistics lesson plans for K-12 teachers. The web site is maintained by the ASA and accessible to K-12 teachers throughout the world. Lessons cover a wide range of probability and statistics topics.

The textbook website for "Statistics: The Art & Science of Learning from Data," by Agresti, Franklin and Klingenberg, has a collection of Shiney Apps for visualizing statistical concepts. There are usable on computers, tablets and smart phones. Apps include Exploratory Analysis, Random Numbers, Association and Linear Regression, Distributions, Probabilities, Sampling distributions, Central Limit Theorem,, Inferential Methods (one and two samples), ANOVA, and Bootstrap Confidence Intervals & Permutation Tests.

This webpage provides an active learning lesson for linear regression. Resources include an in-class student activity sheet for two different levels of classes (Algebra I and Junior), a PowerPoint showing faces of famous people, and sheet with updated (to the end of current year) actual ages of the celebrities.

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.

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.

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.

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