How can we ensure that these statistical tools are used responsibly and do not perpetuate biases or lead to misleading conclusions? Are there instances where correlation is mistaken for causation, and how can we guard against this misinterpretation in practice?

Last week, we learned about the norms and basic statistics for testing.
This week,  would like for you to think about the following questions.

What are the ethical implications of using correlation and regression analysis to identify relationships between variables, especially in fields like healthcare, finance, and education?

How can we ensure that these statistical tools are used responsibly and do not perpetuate biases or lead to misleading conclusions? Are there instances where correlation is mistaken for causation, and how can we guard against this misinterpretation in practice?.

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