The aim of this textbook is to provide an applied introduction to statistics, and in particular to the design and analysis of experiments for students with no background in the subject. The author sets forth these goals: a strong emphasis on choosing sound design structures prior to a formal discussion of ANOVA; explore real data sets using a variety of graphs and numerical methods; testing the assumptions behind standard ANOVA texts; and so on. The text is quantitatively accessible: more difficult algebraic discussions are contained in optional sections. Throughout the book, the author emphasizes the contextual understanding and interpretation of data analysis rather than stressing formal deductive, mathematical reasoning.
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Book Description
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Data analysis is an interpretive activity. George Cobb's goals in Introduction to Design and Analysis of Experiments are to explain how to choose sound and suitable design structures and to engage the student misunderstanding the interpretive and constructive nature of data analysis and experimental design. Developed over years of classroom use, this text can be used as an introduction to statistics emphasizing experimental design. Technical prerequisites are kept to a minimum. It can also be used as an elementary graduate survey course.
Cobb's approach and careful exposition allow students to build a deep understanding of Statistical concepts over time as they analyze and design experiments. He presents the Statistics concepts over time as they analyze and design experiments. he presents the field of statistics to students as a matrix, rather than a hierarchy, of related concepts.
This text introduces the main concepts of Statistical thinking in the context of experimental design and ANOVA, allowing the material to be covered in half of the usual time.
Introduction to Design and Analysis of Experiments was originally published by Springer-Verlag, New York and is now being reprinted by Key College Publishing. It is available for sale from either publisher. --This text refers to the Paperback edition.
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3 of 3 people found the following review helpful:
5.0 out of 5 stars
good elementary treatment of experimental design,
By
This review is from: Introduction to Design and Analysis of Experiments (Key Curriculum Press) (Paperback)
Many good books on experimental designs are avaialble. Nost are written on an advanced level and others either have an agricultural or an engineering orientation. This book by Cobb is different. It is excellently written on an elementary level and it covers basic principles involved with designs before delving into specific details.
2 of 4 people found the following review helpful:
1.0 out of 5 stars
AWFUL!!,
By Dan (Washington, DC) - See all my reviews
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This review is from: Introduction to Design and Analysis of Experiments (Paperback)
What was this author thinking?? This book is not written like a traditional textbook, instead the author tries to be funny... Instead it comes across awkwardly and annoyingly. Also, the book makes it very difficult to find information in it because of the poor organization.
If you are a professor thinking about using this for your class... PLEASE DON'T!!
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category condition, frame size, silver blaze, sleeping shrews, dentist effects, one piece for each factor, walking babies experiment, individual chance errors, average enzyme concentrations, general decomposition rule, short conc, numerical carrier, hamster data, nuisance influences, factor for chance error, mixed interaction terms, infirmary data, one nuisance factor, two nuisance factors, balloon summary, basic decomposition step, concentrations for long days, factorial crossing, carpet data, reusing subjects Key Phrases - Capitalized Phrases (CAPs): (learn more)
Exercise Set, Grand Avg, Cond Avg, Dietary Control, Review Exercise, Cond Eff, Reread Example, Col Eff, Scatterplot Res, Row Eff, Free Idio, Ronald Fisher, Cell Avg, Reread Exercise, Nuisance Main, Chance Skeptic, Mount Holyoke College, Sepal Petal Sepal Petal Sepal Petal, Con Suc Glu Fru, Times Lakes, Chemical Treatment, Block Avg, Wolf River, Physical Grade, Grand Vitamin Residual Browse Sample Pages:
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category condition, frame size, silver blaze, sleeping shrews, dentist effects, one piece for each factor, walking babies experiment, individual chance errors, average enzyme concentrations, general decomposition rule, short conc, numerical carrier, hamster data, nuisance influences, factor for chance error, mixed interaction terms, infirmary data, one nuisance factor, two nuisance factors, balloon summary, basic decomposition step, concentrations for long days, factorial crossing, carpet data, reusing subjects Key Phrases - Capitalized Phrases (CAPs): (learn more)
Exercise Set, Grand Avg, Cond Avg, Dietary Control, Review Exercise, Cond Eff, Reread Example, Col Eff, Scatterplot Res, Row Eff, Free Idio, Ronald Fisher, Cell Avg, Reread Exercise, Nuisance Main, Chance Skeptic, Mount Holyoke College, Sepal Petal Sepal Petal Sepal Petal, Con Suc Glu Fru, Times Lakes, Chemical Treatment, Block Avg, Wolf River, Physical Grade, Grand Vitamin Residual Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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