Applied Statistical Methods in Agriculture, Health and Life Sciences / by Bayo Lawal.

By: Material type: TextTextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014Description: 1 online resource (XXXIII, 799 pages 536 illustrations, 61 illustrations in color.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319055558
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 519.5 23
Contents:
Table of Contents attached as well. Introduction -- Frequency Distributions -- Numerical Description of Data -- Probability and Probability Distributions -- Estimation and Hypothesis Testing -- Regression Analysis -- Categorical Data Analysis -- Experimental Design -- The Completely Randomized Design -- The Randomized Complete Block Design -- Multiple Blocking Designs -- Analysis of Covariance -- Factorial Treatments Designs -- The Split-Plot Design -- Incomplete Block Design -- Quantal-Bioassay -- Repeated Measures Design -- Survival Analysis.
Summary: 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 examples is 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)

Table of Contents attached as well. Introduction -- Frequency Distributions -- Numerical Description of Data -- Probability and Probability Distributions -- Estimation and Hypothesis Testing -- Regression Analysis -- Categorical Data Analysis -- Experimental Design -- The Completely Randomized Design -- The Randomized Complete Block Design -- Multiple Blocking Designs -- Analysis of Covariance -- Factorial Treatments Designs -- The Split-Plot Design -- Incomplete Block Design -- Quantal-Bioassay -- Repeated Measures Design -- Survival Analysis.

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 examples is 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.

Description based on publisher-supplied MARC data.

There are no comments on this title.

to post a comment.