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Design and Analysis in Chemical Weed Control Research

Published online by Cambridge University Press:  12 June 2017

S. K. Ries and
W. C. Jacob
S. K. Ries
Affiliation:
Department of Horticulture, Michigan State College
W. C. Jacob
Affiliation:
Department of Vegetable Crops, Cornell University
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Extract

In reviewing weed control literature, papers are frequently encountered in which the data have been presented without statistical evaluation. It is important for research workers in the herbicide field to be able to estimate the validity of their comparison just as it is for the workers engaged in fertilizer studies or any other phase of field research. Arithmetic means presented alone in a graph or in a table are extremely difficult to evaluate. Even though the author of a paper may have confidence in the significance of his data, it is difficult for the reader of a research report to evaluate the conclusions if an estimate of the experimental error is not presented. This may seem to place undue emphasis on statistical analysis itself. Yet in the relatively new field of weed control, few workers have had sufficient experience to judge the significance of differences of varying degree.

Information

Type
Research Article
Information
Weeds , Volume 3 , Issue 2 , April 1954, pp. 152 - 159
Copyright
Copyright © 1954 Weed Science Society of America 

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References

Literature Cited

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