Getting the Right Answer: Four Statistical Principles

Researchers often go into studies with preconceived notions of what they expect or hope to see. These expectations and hopes may color how researchers interpret their final data. For example, they may cherry-pick results that appear to support their hypothesis while ignoring results that contradict it. This can lead to biased papers, with flawed analyses, even including examples in which authors wrongly report the exact opposite of what the data actually show. I will present one such example here.

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