Interval variables are continuous but do not possess a true zero and can give only a measure of distance
Interval variables possess many attributes of continuous measurement, but can only provide a measure of distance.
In applied statistical testing, interval variables that meet the assumptions of normality and homogeneity of variance are used and interpreted just like continuous level measurement. Therefore, more powerful parametric statistical tests can be used.
Always check the normality of ordinal, interval, and ratio data with skewness and kurtosis statistics before running parametric statistics.
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