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    Experiment! Planning, Implementing and Interpreting

    ISBN-10: 0470688254
    ISBN-13: 9780470688250
    Author(s): Oivind Andersson
    Description: This book is unique since no methodologies for experimenters exist that put practical tools into a scientific context. There are plenty of books discussing fundamentals of scientific thought on a strictly philosophical level. There are also books  More...
    Buy it from: $63.60
    This item will ship on Tuesday, May 5.

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    Edition: 2nd
    Publisher: John Wiley & Sons, Limited
    Binding: Paperback
    Pages: 288
    Size: 7.50" wide x 9.50" long x 0.50" tall
    Weight: 1.100
    Language: English

    This book is unique since no methodologies for experimenters exist that put practical tools into a scientific context. There are plenty of books discussing fundamentals of scientific thought on a strictly philosophical level. There are also books that cover statistical tools without discussing how measurement data are turned into scientific results. Surveying the market, you find no books that merge these aspects of science into a practical workable methodology for experimenters. The book will be organized in two parts: the first one a general introduction to the scientific approach and the second describing tools and methodology. Part one introduces concepts and ideas that will be used later. A historical chapter describes the birth of scientific thought with the focus on the experimental method. This is followed by a discussion about what science is, and is not. It finishes with a discussion about differences between science and engineering. Part two features a number of selected historical experiments to explore what is characteristic of good experiments. This is followed by statistical methods that are used in the subsequent methodology, including design of experiments (DoE). Even for those who will not use DoE regularly, it is useful to be familiar with the method as it helps understand the importance of separating effects of different factors in an experiment. The remaining chapters present the methodology which leads the reader through an experimental investigation in four phases: planning, data collection, analysis, and synthesis. At the very end, a short introduction to project management is given, which will be useful for students responsible for their own projects. A detailed description of the contents is given below. Every chapter contains examples and exercises making it equally suited as course literature or for self-studies.

    Understanding the World
    You, the Discoverer
    Venturing into the Unknown
    Embarking on a Ph.D
    The Art of Discovery
    About this Book
    How to Use this Book
    Further Reading
    What is Science?
    Characteristics of the Scientific Approach
    The Inductive Method
    The Hypothetico-Deductive Method
    Consequences of Falsification
    The Role of Confirmation
    Perception is Personal
    The Scientific Community
    Further Reading
    Science's Childhood
    Ionian Dawn
    Divine Mathematics
    Adolescence - Revolution!
    The Children of the Revolution
    Further Reading
    Science Inclined to Experiment
    Galileo's Important Experiment
    Experiment or Hoax?
    Reconstructing the Experiment
    Getting the Swing of Things
    The Message from the Plane
    Scientists, Engineers and Other Poets
    Research and Development
    Characteristics of Research
    Building Theories
    The Relationship between Theory and Reality
    Further Reading
    Interfering with the World
    What is an Experiment?
    Questions, Answers and Experiments
    A Gallery of Experiments
    Reflections on the Exhibition
    Further Reading
    Basic Statistics
    The Role of Statistics in Data Analysis
    Populations and Samples
    Descriptive Statistics
    Probability Distribution
    The Central Limit Effect
    Normal Probability Plots
    Confidence Intervals
    The t-Distribution
    Further Reading
    Statistics for Experiments
    A Teatime Experiment
    The Importance of Randomization
    One-Sided and Two-Sided Tests
    The t-Test for One Sample
    The Power of a Test
    Comparing Two Samples
    Analysis of Variance (ANOVA)
    A Measurement System Analysis
    Other Useful Hypothesis Tests
    Interpreting p-Values
    Regression Modeling
    Further Reading
    Experimental Design
    Statistics and the Scientific Method
    Designs with One Categorical Factor
    Several Categorical Factors: the Full Factorial Design
    Are Interactions Important?
    Factor Screening: Fractional Factorial Designs
    Determining the Confounding Pattern
    Design Resolution
    Working with Screening Designs
    Continuous Factors: Regression and Response Surface Methods
    Further Reading
    Phase I: Planning
    The Three Phases of Research
    Experiment 1: Visual Orientation in a Beetle
    Experiment 2: Lift-Off Length in a Diesel Engine
    Finding Out What is Not Known
    Determining the Scope
    Tools for Generating Hypotheses
    Thought Experiments
    Planning Checklist
    Phase II: Data Collection
    Generating Understanding from Data
    Measurement Uncertainty
    Developing a Measurement System
    Measurement System Analysis
    The Data Collection Plan
    Further Reading
    Phase III: Analysis and Synthesis
    Turning Data into Information
    Graphical Analysis
    Mathematical Analysis
    Writing a Scientific Paper
    Writing a Ph.D. Thesis
    Further Reading
    Standard Normal Probabilities
    Probability Points for the f-Distribution

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