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What does SD do not overlap means here?
(edited 3 years ago)
If standard deviations do not overlap, then it means that one measurement is different to the other even when the error values are considered.
For example, if you compare the mean length of rows 1 and 3, the shortest length row 1 could be would be 0.90 (0.91 - 0.01) and the longest length row 3 could be would be 0.84 (0.81 + 0.03). Even with these, the values are still different - non-overlapping.

Another way to commonly think about it would be if you were to plot the measurements on a graph. You'd then draw error lines either side corresponding to the size of the potential error. If these lines don't come into the same range as each other, the standard deviations aren't overlapping.

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