Correlation and Statistical Claims
Ages 16–18Difficulty adapts to you
Correlation and Statistical Claims
Correlation describes how two variables move together. A scatter plot can show positive, negative, or little association. Correlation alone does not prove that one variable causes the other; a third variable or the direction of influence may matter.
Your goals
- ✓You can interpret relationships in data without confusing association with cause.
- ✓You can use Correlation and Statistical Claims, model correctly.
- ✓You can use the definitions, units, assumptions, and examples to check your answer.
Words to know
- Correlation and Statistical Claims:
- Interpret relationships in data without confusing association with cause.
- model:
- A rule or representation used to describe a situation and make a prediction.
Examples
- 1Study time and test score may show positive association, but sleep, prior knowledge, or support may also affect scores.
- 2A line of best fit summarises a trend but should not be used far beyond the observed data without justification.
Check these
- • Do not skip the meaning of a term or give a result without explaining what it means.
- • Keep every number, symbol, label, and unit in its correct place.
- • Show enough working to check how you reached your answer.
Helpful habits
- • Read the whole question before choosing what to do.
- • Show one clear step at a time and check each step.
- • If you are stuck, draw a model, try smaller numbers, or revisit the example.
Now try your own
Create your own correlation and statistical claims example, solve it, and explain how you checked it.
Professor Wise Owl
Wisdom & Understanding“Every expert was once a beginner. You are on your way!”