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Numerical Stat Tests

Keith Walker Stat Tests English

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Numerical Stat Tests

  1. 1 group

    • 1 sample from a frame and 1 variable
      • Parametric
        • 1 sample t-test
          • Compares means. H₀: μ = μ₁
            • example:
      • Non-Parametric
        • Wilcoxon signed ranks test
          • ranks values/differences ignoring signs. H₀; Median difference =0
            • Example:
  2. 2 Groups

    • Paired
      • Parametric
        • Paired t-test
          • Compare the mean of the diferences between the two measurements. If =0 then two groups the same. H₀; μ of diffs = 0
            • Example: Recruits with tooth decay at onset and 1 year later. Or Case Control study
      • Non-parametric
        • Wilcoxon signed ranks test
          • Rank the differences, ignoring signs. H₀; differences between -ve and +ve =0
    • Independent
      • Parametric
        • unpaired t-test
          • compare means of the two samples. H₀: means in both groups equal
      • Non-Parametric
        • Wilcoxon rank sum test. Mann Whitney U test
          • Sum the ranks in the two groups and compare
  3. >2 Groups

    • Parametric
      • ANOVA
        • between group variance (a) should equal within group variance (b) under the Null. ie HOMOSCDASTIC
          • Therefore H₀: a = b. H₁: a > b
            • Based on F -Ratio
    • Non-parametric
      • Kruskal-Wallis test
        • Same as Wilcoxon rank sum but take into account sample sizes

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Description
Stat Tests Mind Map on Numerical Stat Tests, created by Keith Walker on 26/04/2013.
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Keith Walker
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