Which of the following is a use of quantiles?

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Quantiles divide a data distribution into equal-sized groups, creating boundaries that separate performance levels. This makes them ideal for setting thresholds to define categories like low, medium, and high performance. In practice, you might use quartiles or deciles to mark cutoff points so that each category contains the same number of observations, which helps standardize comparisons across entities or time periods. Because of this, quantiles are used to determine thresholds for performance categories.

Computing an average value relies on central tendency (the mean), not on dividing the data into groups. Identifying the maximum value focuses on the single, extreme data point rather than where most data fall. Calculating the correlation between two variables measures how two variables move together, not how a distribution is partitioned into categories.