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2 results

Statistics for the Social Sciences
  • A General Linear Model Approach
  • 2nd edition
  • Russell T. Warne
  • Published online:
    24 December 2020
    Print publication:
    17 December 2020
  • The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

  • 7 - Is This Normal?

  • from Part II - How to Use Statistics
  • Paul Cairns, University of York
  • Book:
    Doing Better Statistics in Human-Computer Interaction
    Published online:
    26 January 2019
    Print publication:
    07 February 2019, pp 86-94

  • Summary

    Many statistical tests that are commonly used rely on the assumption that data are normally distributed. This chapter discusses why normality commonly occurs in statistics but also how, in many practical situations in HCI, it is not safe to assume normality. It also shows how tests for normality are not meaningful or useful. Instead, where normality is in doubt, analysis should be more careful and use suitable alternative tests.