Choosing a Statistical Test

1. quantitative data can be classified into types or levels of measurement, such as nominal, ordinal and interval (6, 2, 11)
4. test for correlation when data is at least ordinal level (9, 3)
5. used in psychology to determine whether a significant difference or correlation exists (and consequently, whether the null hypothesis should be rejected or retained) (11, 5)
8. parametric test for difference between two sets of scores. data must be interval with unrelated design, i.e. independent groups (9, 1, 4)
9. test for a significant difference between two sets of scores. data should be at least ordinal level using unrelated design (repeated measures) (4, 7, 1, 4)

2. test for an association (difference or correlation) between two variables or conditions. data should be nominal level using an unrelated (independent) design (3, 6)
3. parametric test for difference between two sets of scores. data must be interval with a related design, i.e. repeated measures or matched pairs (7, 1, 4)
6. parametric test for correlation when data is at interval level (8, 1)
7. test for a significant difference between two sets of scores. data should be at least ordinal level using a related design (repeated measures) (8)

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