Appropriate application of significance tests in statistical analyses requires an explicit statement of hypothesis; a clear definition of the population(s) about which inferences are to be made; and a model, a sampling strategy, an analysis, and an interpretation that are consistent with these considerations. In particular, experimental design and analyses must recognize appropriate replication and random selection of experimental units from target population(s). This paper discusses some aspects of these issues in range science research. Textbook examples and examples from range science applications are discussed in parallel in an attempt to clarify issues of randomization and replication in statistical applications. 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.