How to compare paired data sets include the variation on the samples

[#1]

Feeling i meeting the wall with comparing these two methods I'm testing.

I have 2 methods (1 and 2) both analysed on the same sample. For both methods triplicates have been measured for each sample. So now I want to compare method 1 vs 2 including the know variation to see if statistically significant?

[#2]

What is this study, an analytical method comparison? An equivalence study for instrument replacement? Is one of the methods a reference? What do you mean by, "So now I want to compare method 1 vs 2 including the know variation to see if statistically significant?"

Your data is pre-summarized, so you you could use Bivariate platform with the mean and then select Fit Orthogonal to compare the null hypothesis of an intercept = 0 and a slope = 1. You could use Matched Pairs platform if you are looking for a difference in the mean.

I would recommend that you include the individual replicate measurements instead of summarizing the data into the mean and standard deviation. You could use a Fit Least Squares after stacking the measurement columns. The measurement in the Y role and then enter Sample as a random effect.

Hard to say much more given we know practically nothing about your study, your intentions, or your needs.

[#3]

Hi @ANLUN 

if you are looking for inspiration from the variety of options for method comparison try this add in: Method Comparison 

Otherwise, we would need to know much more before being able to help.