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Knowledge that may be in an ordinal scale may be rescaled by changing the data to the ratio or interval scale. Knowledge that is definitely in a nominal or ordinal scale might be scaled by building new dummy variables.

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This could create a graphical representation of the info which can be utilized to look for symmetry and peakedness.

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After the outcome of your Evaluation are already generated, it is vital to interpret them as a way to draw conclusions from the information.

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