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Lies or damned lies! These would be statistics which are faulty or presented in a misleading way (deliberately or accidentally). Such statistics could arise in a number of ways:
- the experimental model was flawed,
- there were errors in measurement or recording,
- the sample was biased,
- correlation was interpreted as causation,
- poor graph design - scales, pictograms using improper dimensions,
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Earn +20 ptsQ: What is the definition of deceptive statistics?
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