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Adjusted frequency in statistics is calculated to account for biases or irregularities in data sampling. The formula typically takes the form:

[ \text{Adjusted Frequency} = \frac{\text{Observed Frequency} + \text{Adjustment}}{\text{Total Observations} + \text{Adjustment Factor}} ]

where the adjustment can be a constant or derived from other statistical measures, depending on the context. This helps to provide a more accurate representation of frequency distributions.

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