If the two distributions can be assumed to follow Gaussian (Normal) distributions then Fisher's F-test is the most powerful test. If the data are at least ordinal, then you can use the Kolmogorov-Smirnov two-sample test.
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You determine the similarity of two triangles through the equality of each two relevant lines and the equality of each relevant two interior angels.
efficiency variance, spending variance, production volume variance, variable and fixed components
If the two figures are the same shape. Also if the ratios of the lengths of the corresponding sides are equal.
a small mean difference and large sample variances