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Time series analysis requires stationarity. Check for trends and seasonality before applying models like ARIMA. Use differencing or transformations to make the data stationary if needed.
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A 2025 National Center for Education Statistics report reveals a rise in AI-driven statistical analysis in U.S. academia, enhancing research efficiency but raising concerns over data bias and ethical implications.
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