We consider the problem of making an overall comparison of several treatments to a control where experimental units are randomly assigned to either the 'control' group which receives no treatment or to one of k-1 'treatment' groups. We assume that the effect of the treatments is, if anything, a loca
Computer program for the parametric and nonparametric comparison of several groups to a control
β Scribed by William D. Blaker
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 614 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0010-4825
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β¦ Synopsis
BASIC program is described which, upon the input of raw data from an experiment comparing several treatment groups to a control, will output group parameters (mean, SEM), test for outliers in each group (maximum normalized residual test), and examine the homogeneity of variance (Bartlett's test). Subsequently, one-way ANOVA and Dunnett's multiple comparison test are performed. The user also has the option of examining the data by nonparametric means using the Kruskal-Wallis test and a nonparametric multiple comparison test (Dunn's test). As a convenience, the program contains algorithms to generate critical table values for all the tests employed. Data analysis Non-parametric statistics Maximum normalized residual test Bartlett's homogeneity of variance test ANOVA Dunnett's multiple comparison test Kruskal-Wallis test
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