Exploratory data analysis (EDA) gives students a feel for the data being considered. Four applications of EDA are discussed: the use of displays, resistant statistics, transformations, and smoothing. (RM)

Describes a class demonstration of observer bias in which students were led to believe what the research data would indicate. Reports that students reported trends consistent with the expectancy. Asserts that the demonstration had a strong and memorable effect on students and has value for demonstrating observer bias. (CFR)

Maintains that preparing graphs is an essential part of data analysis and representation. Asserts that, although psychologists use graphs extensively, most textbooks provide limited techniques for designing graphs. Reviews research on graphical techniques and includes recommended articles on the topic. (CFR)

Describes an easy-to-use, inexpensive field trip/laboratory exercise designed to delineate the home ranges of small animals. Students participate in the design of the exercise; collection, analysis, and interpretation of data; and the presentation of results. Contains 19 references. (DDR)