Abstract

We examine the problem of accommodating outliers in 𝑟 × 𝑐 tables of measurement data when there are no replications. The suggested strategy for the determination of the cells that contain outliers and for handling them analytically is easily understood and implemented in practice and presented in even the most elementary statistics course along with the course’s ANOVA material.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Publication Date

9-2024

Document Type

Article

Department, Program, or Center

Mathematics and Statistics, School of

College

College of Science

Campus

RIT – Main Campus

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