ABSTRACT

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.

chapter 1|24 pages

Introduction

part I|2 pages

Data Familiarisation and Presentation

chapter 3|58 pages

Reliability, Probability, and Confidence

chapter 4|29 pages

Sampling

part II|6 pages

Questions of Comparison

chapter 5|40 pages

Single Sample Comparisons

chapter 6|30 pages

Comparing Two Samples

chapter 7|66 pages

Multiple Comparisons

part III|2 pages

Sequential Relationships

chapter 8|50 pages

Non-Causal and Causal Relationships

part IV|2 pages

Questions of Association and Agreement

chapter 9|24 pages

Tabular Relationships