Introduction to Real World Statistics

With Step-By-Step SPSS Instructions

Nonfiction, Reference & Language, Education & Teaching, Teaching, Statistics, Health & Well Being, Psychology, Research
Cover of the book Introduction to Real World Statistics by Edward T. Vieira, Jr., Taylor and Francis
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Author: Edward T. Vieira, Jr. ISBN: 9781351869805
Publisher: Taylor and Francis Publication: March 9, 2017
Imprint: Routledge Language: English
Author: Edward T. Vieira, Jr.
ISBN: 9781351869805
Publisher: Taylor and Francis
Publication: March 9, 2017
Imprint: Routledge
Language: English

Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation; an introduction to the concept of probability; data screening and descriptive statistics; various inferential analysis techniques; and a series of exercises that are designed to integrate core statistical concepts. The author’s systematic approach, which assumes no prior knowledge of the subject,equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions.

Notable features include:

  • short, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making
  • statistical procedures presented in a practical context with less emphasis on technical jargon
  • early chapters that build a foundation before presenting statistical procedures
  • SPSS step-by-step detailed instructions designed to reinforce student understanding
  • real world exercises complete with answers
  • chapter PowerPoints and test banks for instructors.
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Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation; an introduction to the concept of probability; data screening and descriptive statistics; various inferential analysis techniques; and a series of exercises that are designed to integrate core statistical concepts. The author’s systematic approach, which assumes no prior knowledge of the subject,equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions.

Notable features include:

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