A family of Microsoft spreadsheet software with tools for analyzing, charting, and communicating data.
Wox33,
On one hand it sounds like you want to calculate the mean error in the mean, which would be derived from the sample standard deviation divided by the square root of (sample size - 1), and doesn't make use of any known errors, just the original data.
In your example data, the standard deviation of the data points in column A is 0.0616, so the mean error from the mean would be 0.0616 / sqrt(2) = 0.0436, and hence the mean = 4.34 + or - 0.0436
On the other hand, however, like joeu2004 I wonder about the error values you have given in column B. How are the error values in your 'real' data set actually known in practice? What does it mean to say they are 'error propagated values'?
_______________________________________________
Regards, Tom