Figure 5. Estimating statistical signifi cance using the overlap rule for SE bars. Here, SE bars are shown
on two separate means, for control results C and experimental results E, when n is 3 (left) or n is 10 or
more (right). “Gap” refers to the number of error bar arms that would fi t between the bottom of the error
bars on the controls and the top of the bars on the experimental results; i.e., a gap of 2 means the
distance between the C and E error bars is equal to twice the average of the SEs for the two samples.
When n = 3, and double the length of the SE error bars just touch (i.e., the gap is 2 SEs), P is 0.05
(we don’t recommend using error bars where n = 3 or some other very small value, but we include rules
to help the reader interpret such fi gures, which are common in experimental biology).
Figure 5. Estimating statistical signifi cance using the overlap rule for SE bars. Here, SE bars are shownon two separate means, for control results C and experimental results E, when n is 3 (left) or n is 10 ormore (right). “Gap” refers to the number of error bar arms that would fi t between the bottom of the errorbars on the controls and the top of the bars on the experimental results; i.e., a gap of 2 means thedistance between the C and E error bars is equal to twice the average of the SEs for the two samples.When n = 3, and double the length of the SE error bars just touch (i.e., the gap is 2 SEs), P is 0.05(we don’t recommend using error bars where n = 3 or some other very small value, but we include rulesto help the reader interpret such fi gures, which are common in experimental biology).
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