Design and Analyse Your Experiment Using MINITAB

  • ID: 2182369
  • Book
  • 312 Pages
  • John Wiley and Sons Ltd
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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. Nevertheless, many investigators and researchers in industry and universities are expected to design and analyze their own experiments. Even if investigators do have access to statistical advice, they will be expected to have some basic knowledge of the issues.
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Preface.

Notation.

Website for data sets.

Sources of data.

1 Guide.

2 Descriptive statistics and plotting.

3 Single sample experiments.

4 Comparison proportions.

5 Comparing two treatments.

6 Comparison of several means.

7 Factorial experiments with factors at two levels.

8 Fractional factorial experiments with factors at two levels.

9 Response surfaces.

10 Hill climbing.

11 Robust design.

12 Hierarchical (nested) designs.

13 Two factors at several levels.

14 Crossed and nested factors, and split–plot designs.

15 Mixture designs.

16 Discrete response.

Post–script.

Authors.

Glossary.

References.

Index.

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Tony Greenfield
Andrew V. Metcalfe
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