![]() ![]() (For example, if 128 trials of a Bernoulli coin-flip experiment were done for each data point, and someone recorded the percentage of heads in each series to the nearest 1%, you could multiply by 1.28/% to try to recover the actual number of heads, but there'd be 28 empty bins) But this would tend to double-up in a neighboring bin and the gaps would tend to be regularly spaced, so I doubt this is the cause. 13 to 12,13 as shown could cause this issue, if. Your data actually is discrete (perhaps someone rounded off to 1 signficant figure during data collection, or quantization error was significantly in an ADC) and then unit conversion caused irregular gaps. ![]() There's some underlying reason they're empty, which you may want to investigate. With that many sample points, the probability (p-value) of getting empty bins if the distribution is smooth is quite low.
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