Statistics for HCI

making sense of quantitative data

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  • about
    • credits
  • second edition
    • table of contents
      • Chapter 1: Introduction
      • Chapter 2: The unexpected wildness of random
      • Chapter 3: Properties of randomness
      • Chapter 4: Characterising randomness through probability distributions
      • Chapter 5: Probing the unknown
      • Chapter 6: Traditional statistics
      • Chapter 7: Bayesian methods.
      • Chapter 8: Common issues
      • Chapter 9: Differences and distinctions
      • Chapter 10: Empirical and simulation methods — beyond fixed tests
      • Chapter 11: Big Data — seeing through the forest
      • Chapter 12: AI — intelligence but not as we know it
      • Chapter 13: Gaining power — the dreaded ‘too few participants’
      • Chapter 14: So what? — making sense of results
      • Chapter 15: Moving forward: the future of statistics in HCI
  • book
    • table of contents
      • Chapter 1: Introduction
      • Chapter 2: The unexpected wildness of random
      • Chapter 3: Properties of randomness
      • Chapter 4: Characterising the random through probability distributions
      • Chapter 5: Probing the unknown
      • Chapter 6: Traditional statistics
      • Chapter 7: Bayesian methods
      • Chapter 8: Common issues
      • Chapter 9: Differences and distinctions
      • Chapter 10: Gaining power — the dreaded ‘too few participants’
      • Chapter 11: So what? — making sense of results
      • Chapter 12: Moving forward: the future of statistics in HCI
  • events
    • CHI2023
    • CHI 2022
    • CHI 2021
    • MobileHCI2020 Tutorial
    • master class Feb 2020
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      • talking data
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    • about
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    • part 1 – wild and wide
    • part 2 – doing it
    • part 3 – gaining power
    • part 4 – so what
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credits

Banner image

  • Crowd on Flickr by razorray15
  • 2015 Air pollution in Beijing on Wikimedia by Phoenix7777
  • Normal Distribution PDF on Wikimedia by Inductiveload