Edexcel A-Level Biology A 9BN0
Lifestyle, Health and Risk
Genes and Health
Voice of the Genome
Biodiversity and Natural Resources
On the Wild Side
Immunity, Infection and Forensics
Run for Your Life
Grey Matter
On the Wild Side
Correlation, causation and scientific objectivity
- 3 things to know
- Papers 1 and 3
Overview
Recall questions on what is needed to establish causation, extrapolation, and how funding and interest can shape conclusions.
What you need to know
Answer each one before you reveal it.
What distinguishes a causal relationship from a mere correlation?
What is extrapolation in the context of climate data?
Questions from this subtopic
Each one with the model answer underneath.
- 1
Why does correlation between two variables not prove causation?
Model answer
A causal relationship requires a mechanism linking cause and effect; correlation alone does not demonstrate this mechanism.
- 2
What is extrapolation in the context of climate data?
Model answer
Extrapolation is extending observed trends beyond measured values to make predictions about future climate change.
- 3
Why might scientific conclusions about controversial issues like climate change actions vary depending on who reaches them?
Model answer
Conclusions can be influenced by differing interests, values, or funding sources.
- 4
Why is the degree to which humans are affecting climate change considered a controversial issue?
Model answer
Conclusions may be influenced by the interests of those making them, leading to different interpretations of evidence.
- 5
What does it mean when two variables show a correlation?
Model answer
It means they change together, but this does not prove that one causes the other.
- 6
What distinguishes a causal relationship from a mere correlation?
Model answer
A causal relationship exists when a change in one variable directly produces a change in another, supported by a plausible mechanism.
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