A conclusion may be incorrect if the data is misinterpreted, correlation is mistaken for causation, statistical tests or error bars are missing, or unknown factors are present.
Se puede explicar por qué una conclusión puede ser incorrecta analizando lo que realmente muestran los datos, reconociendo que la correlación no implica causalidad, verificando la ausencia de pruebas estadísticas o barras de error, y considerando la información desconocida.
| Front | How do you explain why a conclusion may be incorrect? |
|---|---|
| Back | - what does the data actually show? - correlation does not mean causation - no statistical test has been done / no error bars have been shown - to show significant difference - what don't we know about the data? |
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