Resource Library

Calibrated Peer Review (CPR) is a program, for networked computers, that enables frequent writing assignments without any increase in instructor work. In fact, CPR can reduce the time an instructor now spends reading and assessing student writing. CPR offers instructors the choice of creating their own writing assignments or using the rapidly expanding assignment library. If you believe in constructivist learning, writing is the most important tool that you have. But if you have a class of 300 students, grading essays challenges even the true believer. Calibrated Peer Review (CPR)can be used in classes of any size. CPR is based on the model of peer review in science. The student reads a document, either on-line or hard copy, then writes about it. When the student has demonstrated competence as a reviewer, the program delivers three peer documents on for review. The student answers content and style questions and assigns scores. Finally, the student does a self-review. The student grade comes from writing and reviewing. Even though the program is only in its third year, approximately 100,000 students have used it. Although CPR was designed for use in large chemistry classes, experience has shown that it can serve in many other disciplines, as well. Currently, business, chemistry, economics, English, and life science instructors are using CPR in college, graduate and professional, high schools and middle schools. CPR was developed in the Chemistry Department at U.C.L.A. with funding provided by the National Science Foundation and Howard Hughes Medical Institute.

A song for use in helping students to apply relationships among alpha, p-value, and the decision of a hypothesis test.  Music & Lyrics ^© 2015 by Lawrence M. Lesser from The University of Texas at El Paso.  This song is part of an NSF-funded library of interactive songs that involved students creating responses to prompts that are then included in the lyrics (see www.causeweb.org/smiles for the interactive version of the song, a short reading covering the topic, and an assessment item).

A song for use in helping students to recognize, in context, the idea of ANOVA as comparing variance between groups to variance within groups.  Music & Lyrics ^© 2016 by Monty Harper.  This song is part of an NSF-funded library of interactive songs that involved students creating responses to prompts that are then included in the lyrics (see www.causeweb.org/smiles for the interactive version of the song, a short reading covering the topic, and an assessment item).

A song for use in helping students to understand that standard error changes with the square root of the sample size.  Music & Lyrics by Tom Toce, © 2015 Retrograde Music.  This song is part of an NSF-funded library of interactive songs that involved students creating responses to prompts that are then included in the lyrics (see www.causeweb.org/smiles for the interactive version of the song, a short reading covering the topic, and an assessment item).

The Probability Web is a collection of probability resources designed to be especially helpful to researchers, teachers, and people in the probability community.  Web page links on this site include probabilty/statistics books and journals, information on mathematics and statistics-based careers, statistical software, teaching resources on probabilty topics, and more.

The ARTIST website provides a variety of assessment resources for teaching first courses in statistics. ARTIST's goal is to help teachers assess statistical literacy, statistical reasoning, and statistical thinking in their statistics classes. Registration is required to use assessment materials.

SERJ is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). SERJ is published twice a year and is free.

SERJ aims to advance research-based knowledge that can help to improve the teaching, learning, and understanding of statistics or probability at all educational levels and in both formal (classroom-based) and informal (out-of-classroom) contexts. Such research may examine, for example, cognitive, motivational, attitudinal, curricular, teaching-related, technology-related, organizational, or societal factors and processes that are related to the development and understanding of stochastic knowledge. In addition, research may focus on how people use or apply statistical and probabilistic information and ideas, broadly viewed.

TISE is an open access journal/publication from the UCLA Department of Statistics on the use of assorted technologies in the statistics classroom.

Factual is the location data company the world’s most valuable brands and technology companies trust to understand and intelligently grow their businesses.

Data is the currency for the new economy, and location data is driving smarter digital products, marketing and business decisions. Our world is now mobile, computing is everywhere, and the power of location data is changing everything — the way we get around, the way we interact with brands, the way we solve problems and the way we discover new services and access information. Location data is changing the way we experience the world.

Factual provides product and engineering teams, marketers and data analysts access to the world’s most trusted, accurate and comprehensive data on places and people worldwide, transforming products, advertising and businesses with data that puts everything in context.

Information about working for Factual can be found here:  https://www.factual.com/company/careers/#career 

Statistics and probability concepts are included in K–12 curriculum standards—particularly the Common Core State Standards—and on state and national exams. STEW provides free peer-reviewed teaching materials in a standard format for K–12 math and science teachers who teach statistics concepts in their classrooms.

STEW lesson plans identify both the statistical concepts being developed and the age range appropriate for their use. The statistical concepts follow the recommendations of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K-12 Curriculum Framework, Common Core State Standards for Mathematics, and NCTM Principles and Standards for School Mathematics. The lessons are organized around the statistical problemsolving process in the GAISE guidelines: formulate a statistical question, design and implement a plan to collect data, analyze the data by measures and graphs, and interpret the data in the context of the original question. Teachers can navigate the STEW lessons by grade level and statistical topic.