Skip Navigation

Home Browse Resources Get Recommendations Forums About Help Advanced Search

Browse Resources

(5 classifications) (63 resources)

Data Collection

Statistical Topic Classifications
Data Management and Organization (18)
Design of Experiments (56)
Measurements Properties and Issues (39)
Observational Studies (15)
Sampling and Survey Issues (46)

View Resource Cartoon: Medical Research Advantages

A cartoon to teach about one difficulty in conducting education research arising from problems in obtaining reliable and valid endpoints. Cartoon by John Landers ( based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.
View Resource CAST: Computer Assisted Statistics Teaching

CAST contains three complete introductory statistics courses, one advanced statistical methods course, and additional modules. Each introductory course presents the same topics, but with different applications. The first is a general version, the second is a biometric version with examples relating to biological, agricultural and health sciences, and the third is a business version. Each...
View Resource Chance Magazine

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...
View Resource Citizen-Statistician

This blog will be about access: access to data and access to analysis tools. This blog will be about data privacy, and data sharing. This blog will be about people who use data to better their lives and the lives of others. This blog is meant for anyone wishing to become a citizen statistician, but in particular for statistics teachers?those who help empower citizens to become citizen s...
View Resource Data Analysis

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.
← Previous Next →

Log In: