Questions and Answers
What is a lurking variable?
A lurking variable is always confounded with the response variable.
False
What does the phrase 'association does not imply causation' mean?
An observed association between two variables doesn't mean one causes the other.
Whenever including a lurking variable causes us to rethink the direction of an association, this is an instance of ______.
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How can including a lurking variable in analysis affect our understanding of data?
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Study Notes
Lurking Variables
- A lurking variable is not present among the main variables in a study but can significantly influence interpretations of relationships.
- These variables can complicate the understanding of how explanatory and response variables interact.
Confounding
- When a lurking variable overlaps with an explanatory variable, it is said to be confounded, making it difficult to separate their effects on the response variable.
Causation vs. Association
- Observing a link between two variables does not guarantee a causal connection; correlation does not equate to causation.
Simpson's Paradox
- Simpson's paradox occurs when the inclusion of a lurking variable alters the perceived strength or direction of a relationship between variables.
Summary Insights
- A lurking variable, if omitted from analysis, can reshape the interpretation of data significantly.
- Understanding the role of lurking variables reinforces the idea that correlation doesn't imply causation.
- Including these variables can refine our grasp of variable relationships or reveal contradictions, exemplified in situations like Simpson's paradox.
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Description
Explore key concepts related to causation and lurking variables in statistics with these flashcards. Understand how lurking variables can affect relationships between explanatory and response variables. This quiz will enhance your grasp of statistical analysis and interpretation.