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  • Evidence-Based Practice in Exercise Science

    Evidence-Based Practice in Exercise Science
    Amonette, William E., English, Kirk, Kraemer, William

    Guide to Evidence-Based Therapist Practice. Sudbury, MA: … Exercise Physiology: Integrating Theory and Applications (2nd ed.). Baltimore: … Research —reading and understanding: statistics for sport performance–basic inferential analysis.

  • A Modern Introduction to Probability and Statistics

    A Modern Introduction to Probability and Statistics
    F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester

    Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books Probability and Statistics are studied by …

  • Item Response Theory

    Item Response Theory
    Frank B. Baker, Seock-Ho Kim

    Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods.

  • Evolutionary Algorithms for Solving Multi-Objective Problems

    Evolutionary Algorithms for Solving Multi-Objective Problems
    Carlos Coello Coello, Gary B. Lamont, David A. van Veldhuizen

    As indicated, the gap between MOEA theory and practice is wide (see Chapter 6) . … Statistical testing of MOEAs begins with understanding of basic statistical concepts such as statistical population, statistical sample, and statistical significance …

  • Understanding Statistical Concepts Using S-plus

    Understanding Statistical Concepts Using S-plus
    Randall E. Schumacker, Allen Akers

    The basic concern in selecting a TYPE II error is the value for power, which is 1–β . Power is the probability of … basis of hypothesis testing. The hypothesis testing theory, known as the Neyman-Pearson hypothesis-testing theory, formulates the relationship between these concerns. In practice, we might select power equal …

  • Handbook of Research Methods and Applications in Empirical Macroeconomics

    Handbook of Research Methods and Applications in Empirical Macroeconomics
    Nigar Hashimzade, Michael A. Thornton

    All the inference procedures in classical regression analysis follow the same basic approach. The Gaussianity … Such disjunctions between theory and practice often sow confusion in the understanding of statistical relationships in economics.

  • Statistical Aspects of the Microbiological Examination of Foods

    Statistical Aspects of the Microbiological Examination of Foods
    Basil Jarvis

    This book provides the basic statistical theory and practice to understand the types of tests frequently needed for the assessment of microbiological data. No prior knowledge of statistical techniques is required.

  • Self-Esteem Research, Theory, and Practice

    Self-Esteem Research, Theory, and Practice
    Christopher J. J. Mruk, PhD

    Looking back, it appears that there are three basic approaches to understanding the connection between self-esteem and behavior. The first one, of course, is to minimize it altogether due to what appears to be a weak statistical relationship …

  • The Oxford Handbook of Undergraduate Psychology Education

    The Oxford Handbook of Undergraduate Psychology Education

    Continually reminding students that probability theory is simply the mathematical likelihood of an event serves as basis for … Beginning with only two groups allows students to build an understanding of basic statistical concepts before considering more complex designs. … a difference due to a reliable manipulation may be sufficiently small that it merits no application in a practice (Grissom & Kim, 2005).

  • A Modern Introduction to Probability and Statistics

    A Modern Introduction to Probability and Statistics
    F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester

    Understanding Why and How F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester … and statistics. The theory and practice of probability and statistics were developed during the last century and are still actively being refined and extended. In this book we will introduce the basic notions and ideas, and in this first chapter we present a diverse collection of examples where randomness plays a role.

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