10.3 - Stationarity in Time Series
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Practice Questions
Test your understanding with targeted questions
Define stationarity in the context of time series analysis.
💡 Hint: Think about whether the series behaves the same throughout.
What is the difference between strict and weak stationarity?
💡 Hint: Consider whether you’re talking about all properties or just some.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does it mean when a time series is stationary?
💡 Hint: Think about the definition of stationarity.
True or False: The KPSS test null hypothesis states that a time series is stationary.
💡 Hint: Recall which tests have what hypotheses.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You observe a fluctuating dataset over several years that appears to show trends. How would you apply the ADF and KPSS tests to analyze its properties?
💡 Hint: Focus on the sequential order of testing and transforming.
Given a non-stationary time series data, describe how you would verify and ensure its stationarity prior to analysis.
💡 Hint: Think about layers: check visually first, then statistically.
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