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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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A ______ mind rarely meets a dead end; it continues the search for the answers.
Children need ___________ to make sense of their internal and external worlds.
Stretching helps prevent lower back pain __________ tightness in the lower body.
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The antique store was filled with a ___________ collection of rare artifacts from aro...
The startup is growing quickly, but they need to ensure they don’t _______ and make careless mistakes.
Choose the most suitable option to fill in the blanks in the sentences below.
The project became so expensive that we had __________.
The team held on by the skin of their teeth to win the crucial match.
1) impressed
2) daunted
3) motivated
4) happy
5) cultivated
The _________ about teachers is that they are too preoccupied with cultivating professional excellence to bother about connectedness.
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She ______ her pearly white teeth in a broad smile.