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Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software

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Applied Statistical Methods in Agriculture, Health and Life Sciences (Hardcover, 2014) Loot Price: R2,604
Discovery Miles 26 040
You Save: R731 (22%)
Applied Statistical Methods in Agriculture, Health and Life Sciences (Hardcover, 2014): Bayo Lawal

Applied Statistical Methods in Agriculture, Health and Life Sciences (Hardcover, 2014)

Bayo Lawal

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List price R3,335 Loot Price R2,604 Discovery Miles 26 040 | Repayment Terms: R244 pm x 12* You Save R731 (22%)

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This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examplesis approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter."

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: September 2014
First published: 2014
Authors: Bayo Lawal
Dimensions: 235 x 155 x 49mm (L x W x T)
Format: Hardcover
Pages: 799
Edition: 2014
ISBN-13: 978-3-319-05554-1
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN: 3-319-05554-2
Barcode: 9783319055541

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