Data collected in many biology laboratory classes are on ratio or interval scales where the size interval between adjacent units on the scale is constant, which is a critical requirement for analysis with parametric statistics such as t-tests or analysis of variance. In other cases, such as ratings of disease or behavior, data are collected on…

This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…

Students learn to examine the distributional assumptions implicit in the usual t-tests and associated confidence intervals, but are rarely shown what to do when those assumptions are grossly violated. Three data sets are presented. Each data set involves a different distributional anomaly and each illustrates the use of a different nonparametric…

Null distributions of permutation tests for two-sample, paired, and block designs are simulated using the R statistical programming language. For each design and type of data, permutation tests are compared with standard normal-theory and nonparametric tests. These examples (often using real data) provide for classroom discussion use of metrics…

Presented is an approach to introducing upper division, undergraduate geology students to nonparametric statistics and their application to geologic data. Discussed are the use of the Mann-Whitney U and the Kolmogorov-Smirnov tests and a class assignment which illustrates their use. (CW)

Describes primary and supplemental textbooks on nonparametric statistics. Lists conceptual and applied articles using these techniques. Recommends using the Statistical Package for the Social Sciences (SPSS-X) computer statistical analysis program. (CFR)

Discusses how nonparametric statistical procedures can be applied to the scoring of cross-country running races. Asserts that this type of example in statistics is appropriate for the upper-secondary school and lower-division college levels. (MDH)