Resource Library

StatCrunch is a web-based package that does a complete range of statistical calculations. Formerly known as WebStat, it provides statistical calculation functions that would be done in most introductory statistics courses, including, but not limited to, creating histograms, pie charts, and boxplots; calculating summary statistics and confidence intervals; and performing hypothesis tests. It allows data to be entered in a spreadsheet style data window or opened from a file. StatCrunch does require a subscription for students and professionals ($13 for 6 months and $23 for 12 months).

StatCrunchThis allows you to pull data sets contained on many web pages in various forms directly into StatCrunch for analysis.

This recording of a web seminar (webinar) provides a tour of StatCrunch. StatCrunch (www.statcrunch.com) is a Web-based data analysis package. StatCrunch has all of the routines required for introductory statistics and many more. The software also offers pedagogical features such as interactive graphics. Many of these capabilities are discussed and demonstrated by StatCrunch developer Webster West.

This collection of YouTube videos is designed to teach individuals how to use StatCrunch to enter data, graph data, obtain descriptive statistics, and conduct many different kinds of statistical analyses.

This web-based package does a very complete range of statistical calculations designed to be user friendly. Formerly known as WebStat, it provides statistical calculation functions that would be done in most introductory statistics courses. Notable examples include being able to create histograms, pie charts and boxplots, calculation of summary statistics and confidence intervals, and performing hypothesis tests. It allows data to be entered in a spreadsheet style data window or opened from a file. Cost for students and professionals is $13 for 6 months and $23 for 12 months (instructors have complimentary access), and it does require a login. Key Word: Calculator.

Stat Crunch's Available Features:  https://www.statcrunch.com/assets/documents/StatCrunch%20Statistical%20Procedures.pdf 

Most statistical concepts are taught within an already packed secondary mathematics curriculum by mathematics teachers who are often under prepared to teach statistics. To address this issue, the Enhancing Statistics Teacher Education with E-Modules [ESTEEM] project hopes to facilitate the infusion of statistics content and pedagogy into undergraduate mathematics teacher preparation by providing faculty with technological and curricular resources, networking experiences, and ongoing support. ESTEEM includes course materials such as lessons, quizzes, videos, and activities.

All hoping to access these resources must create an account at The PLACE

CODAP provides an easy-to-use web-based data analysis platform, geared toward middle and high school students, and aimed at teachers and curriculum developers. CODAP can be incorporated across the curriculum to help students summarize, visualize and interpret data, advancing their skills to use data as evidence to support a claim.

A joke to use in talking about how simulation might aid in learning statistical inference.  The joke was written in April 2018 by Dennis Pearl from Penn State University with editorial help from Larry Lesser from University of Texas at El Paso.

May 8, 2007 webinar resented by Bill Notz, The Ohio State University, and hosed by Jackie Miller, The Ohio State University. In this webinar Bill Notz, the Editor of the Journal of Statistics Education (JSE), discusses all aspects of the journal. He outlines the mission and history of the JSE, describes the various departments of the journal, explains what you can find at the journal's web site, indicates the types of manuscripts the journal seeks to publish, and mentions possible future directions.

June 12, 2007 webinar presented by Rob Carver, Stonehill College, and hosted by Jackie Miller, The Ohio Sate University. We've probably all observed that some of our students become positively irritated with the uncertainty that remains after solving a problem of statistical inference. This webinar reports on a continuing empirical investigation of the relationship between Ambiguity Tolerance (AT) and students' facility in developing the skills of inferential reasoning. This research uses some validated measures of AT and of statistical thinking to focus on ambiguity tolerance as an explanatory or moderating factor in learning to apply the techniques of inference.

September 11, 2007 Teaching & Learning webinar presented by Ginger Rowell, Middle Tennessee State University, and hosted by Jackie Miller, The Ohio State University. The Internet is a great source of learning resources to help statistics teachers and students. Examples include interactive applets, videos, tutorials, lesson plans, case studies, and engaging learning activities. This webinar demonstrates how to assess statistics education learning materials based on the peer-review criteria used by digital libraries such as MERLOT and CAUSEweb.