Data handling 2

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  • Data handling 2
    • post hoc
      • tells you where the significant difference is
        • bonferroni often recommended for use
    • homogeneity of variance
      • same variance
      • use mauchlys test of sphericity
    • eta squared
      • between groups sum of squares / sum of squares between + sum of squares within
      • measure of variance
    • regression
      • To quantify the relationship between one variable and another on which it depends.  
      • Linear regression calculates y = mx + c for the straight line of best fit.
        • x = independent variable  (variable which you control)
        • y = dependent variable
        • The regression coefficient.  This gives m.  
        • The regression constant.  This gives c.  
    • error
      • expression of accuracy.
      • types of error
        • 1. Determinate error (also called systematic error)
          • personal error
          • instrument error
          • method error
            • decrease accuracy
              • personal error
              • instrument error
        • 2. Gross error
          • mistakes or because of unusual events
            • often lead to outliers
        • 3. Indeterminate error
          • dispersion of replicate or repeat measurements about the mean measurement.
            • decrease precision
    • accuracy
      • how close something is to the true value
    • precise
      • same result repeated

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