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2 cards from this section. Quick, good the night before a test.
What is baseline correction?
Think about what kind of errors might affect data reliability.
Why is filtering necessary?
Consider what distractions in data we might need to eliminate.
What does baseline correction do?
Think about what kind of accuracy is needed in measurements.
True or False: Filtering is used to enhance data clarity by eliminating irrelevant noise.
Does noise enhance or hinder understanding?
Analyze a dataset where significant drift is observed in the ground motion records used in a seismic model. Solution proposed?
How do we visually recognize drift?
Construct an argument for why both baseline correction and filtering should be implemented together before using seismic records in a critical engineering project.
Reflect on how accuracy is paramount for safety in design.
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