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UNIVERSITY OF AGRICULTURAL SCIENCES

Experimental statistics for agriculture and horticulture / Clive R. Ireland.

By: Ireland, Clive RMaterial type: TextTextSeries: Modular texts: Publisher: Wallingford, Oxfordshire, UK ; Cambridge, MA : CABI, 2010Description: xvi, 360 pages : illustrations ; 25 cmISBN: 9781845935375; 1845935373Subject(s): Agriculture -- Experimentation -- Statistical methods | Agriculture -- Research -- Statistical methods | Horticulture -- Research -- Statistical methods | Agriculture -- Experimentation -- Statistical methods | Agriculture -- Research -- Statistical methodsDDC classification: 630.727 LOC classification: S540.S7 | I74 2010Other classification: 23 | 31.73 | 42.11 | 48.03 | S540.S7 | ZA 62000
Contents:
An introduction to research by experimentation -- Descriptive statistics -- Data distributions and their use -- Populations, samples, and sample reliability -- Inferential statistics and hypothesis testing -- Single-sample and two-sample parametric tests -- Analysis of multiple-example experiments -- Analysis of multiple-factorial experiments -- Design and analysis of more complex factorial experiments -- Non-parametric sample comparison tests -- Correlation analysis -- Inspecting relationships by simple linear regression analysis -- Multiple regression and non-linear regression analysis -- Analysis of frequency data -- Performing statistical analyses using computer packages and presenting results.
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630.727 IRE (Browse shelf) Available 144637

Includes bibliographical references and index.

An introduction to research by experimentation -- Descriptive statistics -- Data distributions and their use -- Populations, samples, and sample reliability -- Inferential statistics and hypothesis testing -- Single-sample and two-sample parametric tests -- Analysis of multiple-example experiments -- Analysis of multiple-factorial experiments -- Design and analysis of more complex factorial experiments -- Non-parametric sample comparison tests -- Correlation analysis -- Inspecting relationships by simple linear regression analysis -- Multiple regression and non-linear regression analysis -- Analysis of frequency data -- Performing statistical analyses using computer packages and presenting results.

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