Category Archives: Data Analysis

P values. I do not think that value means what you think it means.

Regina Nuzzo has a news feature in Nature about P values that every biomedical scientist should read.  P values — the common measure of statistical significance (i.e. the “believability” of an experiment) — do not mean what most scientists think they mean. … Continue reading

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Tutorial: Significant Figures

New (and not so new) scientists often don’t think about how many digits, or significant figures they should include when reporting numerical data.  Unless you’re using a finely calibrated instrument, most readings aren’t accurate beyond one or two percent (about two significant … Continue reading

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