A reference for analyzing large, complex data sets. Helpful for various levels of students.

CHANCE is copublished quarterly by the American Statistical Association and Springer Science + Business Media, LLC. The magazine is designed for anyone who has an interest in the analysis of data, informally highlighting sound statistical practice. CHANCE is not a technical magazine, but rather a cultural record of an evolving field, intended to entertain as well as inform. Since its creation in 1988, CHANCE has covered such topics as the 1990 census adjustment and the redesigned population survey, sports, the environment, DNA evidence in the courts, a variety of medical issues -- even how to win on "Jeopardy." -- CHANCE offers a unique opportunity to reach beyond statistics professionals to a more general audience.

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.

This resource gives 3 questions readers should ask when presented with data and why to ask them: Where did the data come from? Have the data been peer-reviewed? How were the data collected? This page also describes why readers should: be skeptical when dealing with comparisons, and be aware of numbers taken out of context.

In this module, students can test their knowledge of levels of measurement by attempting to determine the the level of measurement of ten different variables. For each variable, a statement is also provided and students can indicate whether the statement about the variable is valid or invalid (given the way in which the variable was measured). There is also a brief "refresher" included here about levels of measurement.

You can't fix by analysis what you bungled by design. is a quote by American education researchers Richard J. Light, Judith D. Singer, and John B. Willett. The quote is found in the preface of their 1990 book "By Design: planning research on higher education".

A cartoon for use in discussing the issues of causation versus correlation and the assumptions underlying Structural Equations Modeling (SEM) for students who have been introduced to that technique. The idea for the cartoon came from David Lane of Rice University and the cartoon was drawn by Ben Shabad, a student at the Chicago School of Professional Psychology. The cartoon was awarded a tie for first place in the cartoon category of the 2011 CAUSE A-Mu-sing competition. For for use in statistics courses at non-profit institutions.

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

This applet displays various distributions and allows the user to experiment with the parameters to see the effects on the curve.

This applet performs the Student's t test on two sets of data, and reports the average and variance for both sets of data, the t score, degrees of freedom, and one and two tailed P values.