Why are both measures of location and dispersion essential for data interpretation?
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Measures of location give insight into the center or typical values in a dataset, while measures of dispersion show how much variability there is. Together, they provide a more comprehensive understanding of the dataset’s overall distribution, aiding in comparison and interpretation of data.