Distinguishing correlation from causation
CLEP American Government, Chapter 41
Distinguishing correlation from causation
Correlation means that two variables vary together. A positive association means higher values of one tend to accompany higher values of the other; a negative association means higher values accompany lower values. Direction is different from strength. Evidence display 41D plots counties, separates two regions, and marks an unusual county with a diamond. The main cloud trends upward, but the regional clusters occupy different levels and the outlier can pull a one-number summary away from the pattern followed by most counties.
The display supports description, not a causal arrow. Campaign history, industry, region, candidate strategy, or another factor could shape both variables. Candidate B's county vote share also does not reveal which residents supplied those ballots; that inference would require individual-level evidence.
A causal question asks what would have happened to the same units under a different condition.
Video lesson: Maps for Social Studies | GED, HiSET, and TASC Prep
Related to This Article
More math articles
- Fixing Misplaced Modifiers
- Sound, Hearing, and Music
- Reading and Interpreting Bar Graphs for 4th Grade
- Nevada Algebra 1 Free Worksheets: 72 Free Algebra 1 PDF Worksheets with Step-by-Step Keys
- Gender Socialization and Social Structure
- How to Find the Direction of Vectors?
- Free Grade 6 English Worksheets for West Virginia Students
- The Best Grade 5 Math Book for Michigan Students
- 6th Grade PSSA Math Practice Test Questions
- How to Help Your 8th Grade Student Prepare for the North Dakota NDSA Math Test
What people say about "Distinguishing correlation from causation - Effortless Math"?
No one replied yet.