What are some common statistical errors in research?
An example of an AI chatbot conversation about common statistical errors in research.
What are some common statistical errors in research?
Common statistical errors include p-hacking, ignoring confounding variables, and misinterpreting correlation as causation.
Can you explain p-hacking?
P-hacking refers to manipulating data or analysis until nonsignificant results become significant, often leading to false conclusions.
What are confounding variables?
Confounding variables are external factors that can affect both the independent and dependent variables, potentially skewing results.
How can researchers avoid these errors?
Researchers can avoid these errors by using proper study design, pre-registering studies, and conducting thorough data analysis.
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