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    Question

    Which test is commonly used to check stationarity in

    time series data?
    A Granger Causality Test Correct Answer Incorrect Answer
    B Dickey-Fuller Test Correct Answer Incorrect Answer
    C Box-Cox Transformation Correct Answer Incorrect Answer
    D Ljung-Box Test Correct Answer Incorrect Answer
    E Kolmogorov-Smirnov Test Correct Answer Incorrect Answer

    Solution

    The Dickey-Fuller test is a statistical test used to check for stationarity in time series data. It tests the null hypothesis that a unit root is present (i.e., the data is non-stationary). A significant p-value indicates that the null hypothesis can be rejected, confirming stationarity. For example, this test is often applied before fitting ARIMA models to ensure the data meets the stationarity requirement. Why Other Options Are Wrong : A) Granger Causality Test : Tests causality between two time series, not stationarity. C) Box-Cox Transformation : Stabilizes variance but does not directly test for stationarity. D) Ljung-Box Test : Checks the independence of residuals, not stationarity. E) Kolmogorov-Smirnov Test : Compares distributions but does not assess stationarity.

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