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Shifting from the t-test to ANOVA

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As we discussed in our last five-minutes of science, a new perspective in Plant Cell (Reassess the t Test) by plant researchers from UCDavis and UMN addresses the growing complexity of studies examining how plants interact with their environment. In many cases such studies employ arrays of pairwise t-tests, but the authors show how linear models such as ANOVA, provide more statistical power to assess these interactions. Though ease-of-use in Excel strongly favours the t-test, the free statistical package R can grant us all the ability to use ANOVA. These are also the types of questions we are addressing in the Python group (now more an “R” group); anyone interested is welcome to join!

Full disclosure: There is a reason R is not more popular than Excel; the learning curve is steep. Also, for those unaware, I am biased against the t-test (probably more than I realize), though I admit there is a place for it.

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August 3, 2015 Ian Major

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Pages

  • The Hub
  • About TheCOM™
    • Testimonials
    • About The Founder: Bethany Huot
  • TheCOM Center for Educative Research™
    • Educative Research™
    • The BIOME Project
  • FAQ
  • The Whiteboard
  • Strategic Career Management (SCM)
    • SCM: Identify
    • SCM: Defining The Void
    • SCM: Commit
    • SCM: Community Perspectives
  • The Resources
    • Digital Identity Management
    • Networking & Science Communication (#SciComm)
    • Writing & Peer Review
    • Bioinformatics & Statistics
    • Methods & Technologies
    • Teaching & Learning (T&L)
      • T & L Communities
      • T & L Training Programs/Fellowships
      • T & L Career Path Prep
      • T & L Tools & Resources
    • Career Prep
    • Job Hunting
  • The Vault (Archive)
    • The File Cabinet
      • The Pub Club Files:
        • The News
        • The Pub Club
          • The Mission
          • The People
          • The Mug Club
            • The Coaster Club
          • The Python Group
          • The Publications
            • Favorite Pubs
            • Papers of Interest…
            • Scoop.it
        • 2017 Summer – Summaries & Docs
        • 2017 Spring – Summaries & Docs
        • 2016 Fall – Summaries & Docs
        • 2016 Summer – Summaries & Docs
        • 2016 Spring – Summaries & Docs
        • 2015 Fall – Summaries & Docs
        • 2015 Summer – Summaries & Docs
        • 2015 Spring – Summaries & Docs
        • 2014 Fall – Summaries & Docs
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