1st Edition

Quantitative Investigations in the Biosciences using MINITAB





ISBN 9781584880332
Published December 20, 1999 by Chapman and Hall/CRC

USD $115.00

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Book Description

Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations. The advent of statistical software packages has removed much of the tedium and many of the errors of manual calculations and allowed a marked increase in the depth and sophistication of analyses. Although most statistics classes now incorporate some instruction in using a statistics package, most introductory texts do not.

Quantitative Investigations in the Biosciences using MINITAB fills this void by providing an introduction to investigative methods that, in addition to outlining statistical principles and describing methods of calculations, also presents essential commands and interprets output from the statistics package MINITAB.

The author introduces the three basic elements of investigations-design, analysis, and reporting-using an extremely accessible approach that keeps mathematical detail to a minimum. He groups statistical tests according to the type of problem they are used to examine, such as comparisons, sequential relationships, and associations.

Quantitative Investigations in the Biosciences using MINITAB draws techniques and examples from a variety of subjects, ranging from physiology and biochemistry through to ecology, behavioral sciences, medicine, agriculture and horticulture, and complements the mathematical results with formal conclusions for all of the worked examples. It thus provides an ideal handbook for anyone in virtually any field who wants to apply statistical techniques to their investigations.

Table of Contents

Preface
Introduction
Introduction
The Process of Conducting an Investigation
Summary
DATA FAMILIARIZATION AND PRESENTATION
Exploring, Summarizing and Presenting Data
Introduction
Organizing Data using MINITAB
Numerical Methods of Data Description
Graphical Methods of Data Description
Summary of MINITAB Commands
Reliability, Probability and Confidence
Introduction
Reliability
Probability
Confidence Intervals
Graphical Representation of Reliability and Confidence
Summary of MINITAB Commands
Sampling
Introduction
Sampling Techniques
Sample Size Determination
QUESTIONS OF COMPARISON
General Introduction
Single Sample Comparisons
Introduction
Comparisons of a Large Sample (or where a population standard deviation is known)
Comparison of a Small Sample
Comparisons of Samples that have not been Drawn from Normal Distributions
Summary of MINITAB Commands
Comparing Two Samples
Introduction
Comparing Two Independent Samples
Comparison of Two Related (or Paired) Samples
Summary of MINITAB Commands
Multiple Comparisons
Introduction
Comparisons Involving Many Levels of a Single Factor
Comparisons Involving more than One Factor
Data Transformations
Summary of MINITAB Commands
SEQUENTIAL RELATIONSHIPS
General Introduction
Non-Causal and Causal Relationships
Introduction
Correlation
Regression
Summary of MINITAB Commands
QUESTIONS OF ASSOCIATION & AGREEMENT
General Introduction
Tabular Relationships
Introduction
The Contingency Table
Goodness-of-Fit
Summary of MINITAB Commands
Concluding Remarks
Solutions
Statistical Tables
References
Index
Plus each chapter contains a chapter summary and exercises

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Reviews

"This book takes the reader through the structured steps necessary for quantitative investigations. The text is suitable for those students with limited knowledge and ability with mathematics but who may, nonetheless, wish to use statistical techniques appropriately. …Analyses are illustrated by full-worked examples and the author discusses the type of biological question to which each technique should be applied. The text will be a useful starting point for student of applied statistics who need to integrate their studies with Minitab."
- International Statistics Institute

"With 458 pages, this is a substantial work. As a handbook of statistical methods, it should appeal particularly to researchers and lectuers in ecology, and in the agricultural and medical sciences. It could also be a recommended text for advanced undergraduate and postgraduate students.

"I found the book well organized, readable, and comprehensive…The need for careful justification of numbers in animal experiments is emphasized, so that defensible group sizes can be presented to ethical committees. This is one of the book's real strengths, along with the attention given to procedures for sampling.

… I was impressed with Eddison's balancing of algebra versus Minitab and his introductory survey of the statistics landscape without being overly technical. …Overall, I would see this as a useful reference handbook for the advanced undergraduate and postgraduate, or professional biologist, who wants to use statistical methods in an insightful and responsible way, and with Minitab as the executive tool."
- Learning & Teaching Support Network