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About this document
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- 2 pages
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- $2 one-time, yours to keep
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- Format
- Subject
- Health, Statistics
- Module
- HLT 362 · Week 5
This assignment discusses the misuse of statistics, specifically the error of assuming causation from correlation. It uses the example of cigarettes and pulse rate. It is for Week 5 of the HLT 362 module.
What's inside
- Misuse of statistics examples
- Chi-square analysis example
- Correlation vs causation
- Cigarettes and pulse rate example
- Height and weight example
Who it is for: Students taking the HLT 362 module, Week 5. (Undergraduate)
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Summary
Correlation and causation are different. Students learn how to tell them apart. Examples show how to avoid common mistakes.
Correlation and causation
Correlation measures how strongly two things change together. Causation is when one thing directly makes another happen. Students learn to tell the difference between them.
Linear correlation examples
Linear correlation shows how two things change together in a straight line. Examples include height and weight, and cigarettes and pulse rate. Students see how to spot them.
Chi-square analysis
Chi-square analysis checks if two things are linked. Students think of real-world examples where it could be used. They describe how to do it.
Common mistakes
Students learn about common mistakes people make with correlation and causation. They see examples of these mistakes in the real world.
Key terms
- Correlation
- How strongly two things change together.
- Causation
- When one thing directly makes another happen.
- Linear correlation
- How two things change together in a straight line.
- Chi-square analysis
- A test to see if two things are linked.
- Strength of relationship
- How much two things change together.
- Casual relationship
- When one thing directly makes another happen.
Questions this document helps with
- What is the difference between correlation and causation?
- How do you spot linear correlation in real life?
- When would you use Chi-square analysis?
Summary written with AI from the document's text.
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