# 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
• 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