Introductory statistics : exploring the world through data / Robert Gould, University of California, Los Angeles, Colleen Ryan, California Lutheran University.

Author
Gould, Robert, 1965- [Browse]
Format
Book
Language
English
Εdition
Second edition.
Published/​Created
  • Boston : Pearson, [2016]
  • ©2016
Description
xxiii, 705 pages, 46 variously numbered pages : illustrations (some color) ; 29 cm

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Harold P. Furth Plasma Physics Library - Stacks QA276.12 .G687 2016 Browse related items Request

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    Summary note
    "We live in a data-driven world, and this is a book about understanding and working with that data. In order to be informed citizens, authors Rob Gould and Colleen Ryan believe that learning statistics extends beyond the classroom to an essential life skill. They teach students of all math backgrounds how to think about data, how to reason using data, and how to make decisions based on data. With a clear, unintimidating writing style and carefully chosen pedagogy, Introductory statistics: Exploring the World through data makes data analysis accessible to all students. Guided exercises support students by building their confidence as they learn to solve problems. Snapshots summarize statistical procedures and concepts for convenient studying. While this text assumes the use of statistical software, formulas are presented as an aid to understanding the concepts rather than the focus of study. Check your tech features demonstrate how students will get the same numerical value by-hand as when using statistical software"--Publisher's website.
    Notes
    Includes index.
    Contents
    • Introduction to data
    • Picturing variation with graphs
    • Numerical summaries of center and variation
    • Regression analysis : exploring associations between variables
    • Modeling variation with probability
    • Modeling random events : the normal and binomial models
    • Survey sampling and inference
    • Hypothesis testing for population proportions
    • Inferring population means
    • Associations between categorical variables
    • Multiple comparisons and analysis of variance
    • Experimental design : controlling variation
    • Inference without normality
    • Inference for regression.
    ISBN
    • 9780321978271
    • 0321978277
    • 9780133956504
    • 0133956504
    LCCN
    2014020063
    OCLC
    880419001
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