Quantitative Investigations in the Biosciences using MINITAB
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A01=John Eddison
advanced bioscience statistics applications
Author_John Eddison
biological data analysis
biostatistics methods
Category=PBT
Category=PS
Cumulative Distribution Function
Data Set
Dialog Box
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
experimental design
hypothesis testing
Independent Groups
Inter-quartile Range
John Eddison
Kruskal Wallis Test
Mann Whitney Test
Matched Pairs Signed Ranks Test
Menu Route
Minimum Sample Size
Minitab Command
Minitab Dialog Box
Minitab Output
Negative Standardized Residuals
Normal Probability Tables
Randomized Block Design
research methodology
Resting Pulse Rate
Sampling Units
Sampling Wheat Plants
Sea Water
Simple Random Sampling
Standardized Residuals
statistical software
Tukey Tests
Wilcoxon Matched Pairs Signed Ranks Test
Wrinkled Peas
Product details
- ISBN 9781138469860
- Weight: 1020g
- Dimensions: 152 x 229mm
- Publication Date: 09 Aug 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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.
