Presents an outdoor activity requiring students to collect data and suggests some possible applications of the data. (ASK)

Presents an activity in which students study statistical concepts using data from Super Bowl games. (ASK)

Describes a field-tested interdisciplinary unit activity that involves collecting data on honeybees. Students gain hands-on experience with collecting, transforming, and analyzing data in this activity by using actual techniques employed by entomologists, the scientists who study insects. (ASK)

Presents an activity using national achievement data to involve students in a project on data collection and statistics while learning about their attitudes toward and beliefs about mathematics. This activity presents a good opportunity to talk about various interpretations of data and allows students to examine and discuss their attitudes about…

Presents an activity in which students use mathematical thinking and applications to analyze Major League Baseball home run data. (ASK)

The ability to undertake approximate calculations and to get a rough feel for data is an important skill which should not be overlooked. Presents some ideas for teaching and assessing approximate calculation. Contains 13 references. (Author/ASK)

Describes an activity that engages pupils in the whole statistical process from collecting data to interpreting the results. Discusses the importance of these activities in developing knowledge, skills, understanding, and ability in problem solving. (Author/ASK)

Presents a hands-on activity in which students use the tools to derive the basic procedure used by wildlife biologists worldwide for estimating the sizes of wildlife populations. Helps students gain the feelings of power and ownership of a statistical method that they derive themselves. (ASK)

Describes a process of data collection with young children using the outdoors as a mathematical context. The process of data collection and processing introduces children to more abstract mathematics as they sort and classify data, create graphs, compare datasets, examine patterns, and interpret graphical representations. (ASK)

Reviewed are two computer software packages: "Introduction to Spectroscopy, IR, NMR & CMR," and "ASYSTANT" (a mathematical and statistical analysis software tool). Discussed are the functions, strengths, weaknesses, hardware requirements, components, level, and cost for each package. (CW)

Described are engineering programs that have used automated data acquisition systems to implement data collection and analyze experiments. Applications include a biochemical engineering laboratory, heat transfer performance, engineering materials testing, mechanical system reliability, statistical control laboratory, thermo-fluid laboratory, and a…