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10 cards from this deck
Correct errors or remove impossible values carefully.
They might be genuine data points, not errors.
They create comparison issues; standardise units first.
Inaccuracies due to participants' estimation or mistakes.
Remove, estimate, or collect missing data as appropriate.
To ensure transparency and reproducibility of analysis.
Incorrect measurements and unreliable data.
It's probably 166cm or 1.66m, a recording error.
To see how outliers affect overall conclusions.
It reduces data reliability and comparability.
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