In normalizing historical data,monthly revenue may be aggregated into quarterly or even annual data to minimize possible distortions in earnings or cash flow due to inappropriate accounting practices.True or False

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Normalizing historical data involves adjusting for any anomalies or irregularities that may exist in the financial data. One way to do this is by aggregating monthly data into quarterly or even annual data to smooth out any fluctuations that may be the result of accounting practices or seasonal factors. This can help provide a more accurate and consistent picture of a company's financial performance over time.

In Normalizing Historical Data,monthly Revenue May Be Aggregated into Quarterly