Applied statistical methods in agriculture, health and life sciences

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.

Table of content:

Frequency Distributions
Numerical Description of Data
Probability and Probability Distributions
Estimation and Hypotheses Testing
Analysis of Variance (ANOVA)
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
Combined Analysis of Experimental Data
Appendix: Statistical Tables.
(http://www.springer.com/gp/book/9783319055541)