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  • Book
    James E. De Muth.
    Summary: "This is an introductory statistics book designed to provide scientists with practical information needed to apply the most common statistical tests to laboratory research data. The book is designed to be practical and applicable, so only minimal information is devoted to theory or equations. Emphasis is placed on the underlying principles for effective data analysis and survey the statistical tests. It is of special value for scientists who have access to Minitab software. Examples are provided for all the statistical tests and explanation of the interpretation of these results presented with Minitab (similar to results for any common software package)"--Publisher's description.

    Contents:
    Essential elements and statistical terms
    Descriptive statistics and univariate analysis
    Statistical inference and making estimates of the truth
    Dealing with inherent statistical error
    Multivariate analysis: tests to identify differences
    Multivariate analysis: tests to evaluate relationships
    Tests to identify similarities
    Tests to evaluate potential outliers
    Appendices. Flow charts for the selection of the most appropriate inferential test given the types of variables in the study
    Common statistical tables
    Summary of initial commands for Minitab 19®
    Calculations for statistical results present in various chapters.
    Digital Access Springer 2019