{"product_id":"design-and-analyse-your-experiment-using-minitab-isbn-9780470711149","title":"Design and Analyse Your Experiment Using MINITAB","description":"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. This book aims to help. Covering all the most commonly used designs of experiments, the methods and the potential pitfalls are described in clear English. The techniques are introduced with case studies of practical significance. The cases are based on real experiments but are described in the context of three fictitious organizations: an engineering company, SeaDragon; a pharmaceuticals and chemicals manufacturer AgroPharm; and the Department of Social Studies at the University of Erewhon. All technical terms are defined and the mathematical development is restricted to that which is needed to use MINITAB.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eTo note: the text makes reference to the following URL: \u003ca style=\"font-family: Arial; font-size: 13.3333px; background-color: #f7f3e7;\" href=\"http:\/\/www.greenfieldresearch.co.uk\/doe\/data.htm\" target=\"_blank\"\u003ewww.greenfieldresearch.co.uk\/doe\/data.htm\u003c\/a\u003e.\u003cbr style=\"font-family: Arial; font-size: 13.3333px; background-color: #f7f3e7;\"\u003e\u003cbr style=\"font-family: Arial; font-size: 13.3333px; background-color: #f7f3e7;\"\u003eHowever, this URL has since been updated to the following: \u003ca style=\"font-family: Arial; font-size: 13.3333px; background-color: #f7f3e7;\" href=\"https:\/\/web.archive.org\/web\/20161117011155\/http:\/www.greenfieldresearch.co.uk\/doe\/data.htm\" target=\"_blank\"\u003ehttps:\/\/web.archive.org\/web\/20161117011155\/http:\/\/www.greenfieldresearch.co.uk\/doe\/data.htm\u003c\/a\u003e \u003cbr style=\"font-family: Arial; font-size: 13.3333px; background-color: #f7f3e7;\"\u003e\u003cbr style=\"font-family: Arial; font-size: 13.3333px; background-color: #f7f3e7;\"\u003ePlease use this link to have access to the supplementary material.  Preface.  \u003cp\u003eNotation.\u003c\/p\u003e \u003cp\u003eWebsite for data sets.\u003c\/p\u003e \u003cp\u003eSources of data.\u003c\/p\u003e \u003cp\u003e1 Guide.\u003c\/p\u003e \u003cp\u003e2 Descriptive statistics and plotting.\u003c\/p\u003e \u003cp\u003e3 Single sample experiments.\u003c\/p\u003e \u003cp\u003e4 Comparison proportions.\u003c\/p\u003e \u003cp\u003e5 Comparing two treatments.\u003c\/p\u003e \u003cp\u003e6 Comparison of several means.\u003c\/p\u003e \u003cp\u003e7 Factorial experiments with factors at two levels.\u003c\/p\u003e \u003cp\u003e8 Fractional factorial experiments with factors at two levels.\u003c\/p\u003e \u003cp\u003e9 Response surfaces.\u003c\/p\u003e \u003cp\u003e10 Hill climbing.\u003c\/p\u003e \u003cp\u003e11 Robust design.\u003c\/p\u003e \u003cp\u003e12 Hierarchical (nested) designs.\u003c\/p\u003e \u003cp\u003e13 Two factors at several levels.\u003c\/p\u003e \u003cp\u003e14 Crossed and nested factors, and split-plot designs.\u003c\/p\u003e \u003cp\u003e15 Mixture designs.\u003c\/p\u003e \u003cp\u003e16 Discrete response.\u003c\/p\u003e \u003cp\u003ePost-script.\u003c\/p\u003e \u003cp\u003eAuthors.\u003c\/p\u003e \u003cp\u003eGlossary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e  \u003cb\u003eTony Greenfield\u003c\/b\u003e is an Industrial Research Consultant.  \u003cp\u003e\u003cb\u003eAndrew Metcalfe\u003c\/b\u003e is a Senior Lecturer in Statistics at the University of Adelaide.\u003c\/p\u003e 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. This book aims to help. Covering all the most commonly used designs of experiments, the methods and the potential pitfalls are described in clear English. The techniques are introduced with case studies of practical significance. The cases are based on real experiments but are described in the context of three fictitious organizations: an engineering company, SeaDragon; a pharmaceuticals and chemicals manufacturer AgroPharm; and the Department of Social Studies at the University of Erewhon. All technical terms are defined and the mathematical development is restricted to that which is needed to use MINITAB.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eTo note: the text makes reference to the following URL: \u003ca href=\"http:\/\/www.greenfieldresearch.co.uk\/doe\/data.htm\" target=\"_blank\"\u003ewww.greenfieldresearch.co.uk\/doe\/data.htm\u003c\/a\u003e.\u003cbr\u003e\u003cbr\u003eHowever, this URL has since been updated to the following: \u003ca href=\"https:\/\/web.archive.org\/web\/20161117011155\/http:\/www.greenfieldresearch.co.uk\/doe\/data.htm\" target=\"_blank\"\u003ehttps:\/\/web.archive.org\/web\/20161117011155\/http:\/\/www.greenfieldresearch.co.uk\/doe\/data.htm\u003c\/a\u003e \u003cbr\u003e\u003cbr\u003ePlease use this link to have access to the supplementary material.","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989042741477,"sku":"NP9780470711149","price":64.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470711149.jpg?v=1761782554","url":"https:\/\/k12savings.com\/products\/design-and-analyse-your-experiment-using-minitab-isbn-9780470711149","provider":"K12savings","version":"1.0","type":"link"}