What are some examples of causal inference?

What are some examples of causal inference?

Causal inference is about determining whether a change in one variable causes a change in another. For example, researchers might study whether increasing exercise leads to weight loss.

Can you give me another example?

Sure! Another example is examining whether a new teaching method improves student performance compared to traditional methods.

How do researchers establish causal relationships?

Researchers often use experiments, observational studies, and statistical methods like regression analysis to establish causal relationships.

What are some common pitfalls in causal inference?

Common pitfalls include confounding variables, overgeneralization, and failing to account for biases in data collection.