Statistical analysis of root growth rate determinations

Christopher Cox; Henry T. Davis; Morton W. Miller; Dominique Robertson

doi:10.1016/0098-8472(80)90231-2

Statistical analysis of root growth rate determinations

Christopher Cox, Henry T. Davis, Morton W. Miller, Dominique Robertson

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Experiments in which a number of factors may influence a response require careful analysis. Typically, such factors include a treatment condition, whose effects are of primary interest, and a number of secondary variables, whose influence cannot be controlled in the design of the experiment. The analysis of variance can be used to analyze such complex experiments. Data on the growth rates of pea roots exposed to 60 Hz electric fields are used to illustrate this statistical technique. Also included is a series of related plots, which clearly reveal the structure in the data.

Original language	English (US)
Pages (from-to)	389-396
Number of pages	8
Journal	Environmental and Experimental Botany
Volume	20
Issue number	4
DOIs	https://doi.org/10.1016/0098-8472(80)90231-2
State	Published - 1980
Externally published	Yes

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Agronomy and Crop Science
Plant Science

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10.1016/0098-8472(80)90231-2

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author = "Christopher Cox and Davis, {Henry T.} and Miller, {Morton W.} and Dominique Robertson",

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AU - Davis, Henry T.

AU - Miller, Morton W.

AU - Robertson, Dominique

PY - 1980

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AB - Experiments in which a number of factors may influence a response require careful analysis. Typically, such factors include a treatment condition, whose effects are of primary interest, and a number of secondary variables, whose influence cannot be controlled in the design of the experiment. The analysis of variance can be used to analyze such complex experiments. Data on the growth rates of pea roots exposed to 60 Hz electric fields are used to illustrate this statistical technique. Also included is a series of related plots, which clearly reveal the structure in the data.

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Statistical analysis of root growth rate determinations

Abstract

ASJC Scopus subject areas

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