Statistical Methods and Procedures
by Michael O'Mahony
Presenting divergent philosophies in a balanced manner, this comprehensive and up-to-date
text covers all the basic techniques of sensory testing, from simple discrimination tests
to home use placements for consumers.
Features:
- Provides a practical guide to how tests are conducted
- Explores the fundamental psychological and statistical theories
that form the basis and rationale for sensory test design
- Statistics used in sensory
evaluation are demonstrated as integrated applications in the context of appropriate sensory
methods and are also presented as stand-alone material in appendices
- Statistical applications are tailored to common analyses encountered to sensory work,
so that practicality and relevance are obvious, and space is not wasted on designs or
analyses that are not suitable for data collection from human observers
Offering a balanced view of diverse approaches, the text
presents the chapters in such a way as to provide undergraduate and graduate students taking
courses in sensory evaluation, who want only practical aspects of conducting sensory tests,
with clear instructions on how tests should be conducted. Advanced students will profit from
the more detailed sections on rationale and sensory evaluation issues. Sensory Evaluation of
Food is also an essential reference for industrial practitioners.
Contents:
- Before you Begin
- Averages, Ranges, and the Nature of Numbers
- Probablity, Sorting, and Arranging
- Normal (Gaussian) Distribution: z Tests
- The Binomial Test: Applications in Sensory Difference and Preference Testing
- Chi-Square
- Student's t Test
- Introduction to Analysis of Variance and the One-Factor Completely Randomized Design
- Multiple Comparisions
- Analysis of Variance: Two-Factor Design Without Interaction, Repeated Measures
- Analysis of Variance: Two-Factor Design with Interaction
- Analysis of Variance: Three- and Four-Factor Designs
- Fixed- and Random-Effects Model
- Split-Plot Design
- Correlation and Regression
- Additional Nonparametric Tests
Appendices
- Proof That Σ(X - X)2 =Σ X2 - (Σ X)2/N
- Binomial Expansion
- Proof that SST = SSB+SSE
- A Note on Confidence Intervals
- Sensory Multiple-Difference Testing, Using the R= Index to Ascertain Degrees of Difference
- Do We Have the Wrong Tools?
- Statistical Tables
Index
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