The need to test for "outliers" is often overlooked both in statistical analyses of data, and in applied statistics courses. Instead of discarding an "odd" value from the sample data based on intuition, an objective approach should be used in handling spurious values found in a data group. An outlier testing procedure can be also useful in constructing future sampling designs. This material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020
Scholarly peer-reviewed articles published by the Society for Range Management. Access articles on a rolling-window basis from vol. 1, 1948 up to 5 years from the current year. Formerly Journal of Range Management (JRM). More recent content is available by subscription from SRM.