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Selecting a Statistical Test
Are parametric test assumptions satisfied?
What is a
PARAMETRIC TEST?
A parametric test is one that makes assumptions about the parameters (defining properties) of the population distribution(s) from which one’s data are drawn, while a non-parametric test is one that makes no such assumptions
When are the assumptions
SATISFIED?
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When there is an interval or ratio scale of measurement (approximately interval)
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When there is random sampling from a defined population
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When the characteristic is normally distributed in the population
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When the population variances are equal (if two or more groups/variables in the design)
To learn more about parametric tests, see the links and videos below:
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