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The cell biology literature is littered with erroneously tiny P values, oftenthe result of evaluating individual cells as independent samples. Becausereaders use P values and error bars to infer whether a reported differencewould likely recur if the experiment were repeated, the sample size N used forstatistical tests should actually be the number of times an experiment isperformed, not the number of cells (or subcellular structures) analyzed acrossall experiments. P values calculated using the number of cells do not reflectthe reproducibility of the result and are thus highly misleading. To helpauthors avoid this mistake, we provide examples and practical tutorials forcreating figures that communicate both the cell-level variability and theexperimental reproducibility.

If your P value looks too good to be true, it probably is: Communicating reproducibility and variability in cell biology