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Feb 22, 2021 at 9:00 history tweeted twitter.com/StackMma/status/1363775573462573057
Feb 21, 2021 at 18:32 comment added JimB Besides the data you also need to describe how the data was collected because if the calculation of the standard deviation is to make any sense, there should be an underlying model describing the error structure. In other words, it's not just about the data values.
Feb 21, 2021 at 14:38 history edited C. E. CC BY-SA 4.0
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Feb 21, 2021 at 14:36 answer added C. E. timeline score: 4
Feb 21, 2021 at 13:57 history edited C. E. CC BY-SA 4.0
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Feb 21, 2021 at 1:23 comment added thorimur Also, just to reiterate, if you provide the data, that would make this question answerable in more concrete terms!
Feb 21, 2021 at 1:20 comment added thorimur Do the datasets overlap at specific strain values? If so, it might be scientifically prudent to only average at those values, depending on how much you want to approximate. Otherwise, using Mathematica's curve-fitting functions (as Daniel Huber suggested) is a good idea.
Feb 20, 2021 at 13:34 comment added Daniel Huber You may interpolate your data using Interpolateand then calculate data for common values of the independent variable. With these values you may get the mean and STD.
Feb 20, 2021 at 8:51 history edited Szabolcs
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Feb 20, 2021 at 7:38 comment added Ben Izd If you provide data with a sample image of the specified plot, makes answering a lot easier.
Feb 20, 2021 at 4:24 history asked Yoshi00 CC BY-SA 4.0