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3 cards from this section. Quick, good the night before a test.
What is weighting of observations?
Think about how we prioritize trustworthy data.
What happens to more reliable data in weighting?
Consider what higher reliability means.
What does weighting of observations help us achieve?
Think about the benefits of prioritizing quality data.
Weighting based on variance involves giving more weight to observations with:
Circumvent potential misconceptions about the relationship.
Consider three observations with variances of 3, 7, and 1. Calculate their weights and determine which observation should predominantly influence the adjusted results.
Remember to find the inverse of each variance.
If two observations are poor quality due to higher variances but used in a critical project, discuss ways to mitigate their impact through weighting.
What strategies could improve data trustworthiness?
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