Design and analyse your experiment with MINITAB

By: Greenfield,TonyContributor(s): Metcalfe, AndrewMaterial type: TextTextPublication details: London: Hodder Arnold, 2007Description: viii, 303 pages : illustrationsISBN: 9780340807804 ; 0340807806Subject(s): Experimental designDDC classification: 519.5
Contents:
Preface. Notation. Style. Website for data sets. Sources of data. Guide. Descriptive statistics and plotting. Single sample experiments. Comparison of proportions. Comparing two treatments. Comparison of several means. Two-level factorial experiments. Fractional two-level factorial experiments. Response surfaces. Hill climbing. Robust design. Hierarchical (nested) designs. Two factors at several levels. Crossed and nested factors, and split plot designs. Mixture designs. Discrete response. Post-script. The authors. Glossary. References. Index.
Summary: Progress in engineering and the physical sciences, agriculture and the biological sciences, and to some extent social science, depends on experiments. The design of such experiments is crucial. If they are poorly designed they will be inefficient and may lead to misleading conclusions.
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Glossary & Index

Preface. Notation. Style. Website for data sets. Sources of data. Guide. Descriptive statistics and plotting. Single sample experiments. Comparison of proportions. Comparing two treatments. Comparison of several means. Two-level factorial experiments. Fractional two-level factorial experiments. Response surfaces. Hill climbing. Robust design. Hierarchical (nested) designs. Two factors at several levels. Crossed and nested factors, and split plot designs. Mixture designs. Discrete response. Post-script. The authors. Glossary. References. Index.

Progress in engineering and the physical sciences, agriculture and the biological sciences, and to some extent social science, depends on experiments. The design of such experiments is crucial. If they are poorly designed they will be inefficient and may lead to misleading conclusions.

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