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.
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.
For anyone who wants to know more about what an actuary does or how to become an actuary (including a comprehensive list of colleges with actuarial programs), this is an excellent resource.
The ASA Career Center serves as the main clearinghouse for information about jobs, careers, and employment for the statistical profession.
Many great resources are provided here for those seeking more information about a career in statistics.
A sketch by Anastasia Mandel reinterpreting Judith with the Head of Holofernes by Cristofano Allori (1615) with the statistical caption "Segmentation; this one even helped to disperse an army." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.
A sketch by Anastasia Mandel reinterpreting Blacksmiths Taking a Drink by Jean Francois Raffaelli (1884) with the statistical caption "Looks like Kolmogorov-Smirnoff testing." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.
This site is a collection of information about references to mathematics (and probability/statistics) in fiction. Users can see an entire list (sorted by author, title or publication date)and can browse through the database to find references by genre, topic, motif or medium.
Many of us, while teaching an introductory statistics course, have mentioned some of the history behind the methodology, perhaps just in passing. We might remark that an English chap by the name of R. A. Fisher is responsible for a great deal of the course content. We could further point out that the statistical techniques used in research today were developed within the last century, for the most part. At most, we might reveal the identity of the mysterious "Student" when introducing the t-test to our class. I propose that we do more of this. This webinar will highlight some opportunities to give brief history lessons while teaching an introductory statistics course.
June 8, 2010 T&L webinar presented by Lynette Hoelter (University of Michigan) and hosted by Leigh Slauson (Capital University). This webinar will introduce several sources of data and tools that could be useful in both general and social science-specific statistics instruction. The Social Science Data Analysis Network (SSDAN) and the Inter-university Consortium for Political and Social Research (ICPSR), both a part of the University of Michigan's Institute for Social Research, are collaborating on two NSF-funded projects to support quantitative literacy in the social sciences. Resources from each organization and TeachingWithData.org, a result of the partnership, will be highlighted. Materials range from small extracts of data from the Census and American Community Surveys used with specific teaching modules to full datasets with accompanying online analysis tools.