Data handling 2
- Created by: meganjayne15
- Created on: 03-05-14 20:13
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- Data handling 2
- post hoc
- tells you where the significant difference is
- bonferroni often recommended for use
- tells you where the significant difference is
- 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
- decrease accuracy
- 2. Gross error
- mistakes or because of unusual events
- often lead to outliers
- mistakes or because of unusual events
- 3. Indeterminate error
- dispersion of replicate or repeat
measurements about the mean measurement.
- decrease precision
- dispersion of replicate or repeat
measurements about the mean measurement.
- 1. Determinate error (also called systematic error)
- accuracy
- how close something is to the true value
- precise
- same result repeated
- post hoc
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