Hi!

I would like to do a comparison for two sets of data measuring the current (uA) in 25 points.

Mean current: 826.234

SD: 22.585

Sample size 25

Mean current: 797.426

SD: 17.026

sample size: 25

Difference: -28.808

Standard error: 5.657

95% CI: -40.1816 to -17.4344

t-statistic: -5.093

DF: 48

Significance level: P < 0.0001

I would like to express the results as the relative difference of Sample 1 compared to Sample 2.

i.e. 28.808 / 797.426 = 0.0361 (3.6%), instead of the difference +/- the standard error

How do I calculate the relative standard error?

Intuitions says divide SE with the same reference value of 797.426 --> 0.00698 (0.7%).

It was difficult to find good information on how to use RSE in a simple comparison case like this.

Or are there better ways to go about this?

Thanks in advanced for any useful input!

/MarcusR

I would like to do a comparison for two sets of data measuring the current (uA) in 25 points.

**Sample 1**Mean current: 826.234

SD: 22.585

Sample size 25

**Sample 2**Mean current: 797.426

SD: 17.026

sample size: 25

**This will yield**Difference: -28.808

Standard error: 5.657

95% CI: -40.1816 to -17.4344

t-statistic: -5.093

DF: 48

Significance level: P < 0.0001

I would like to express the results as the relative difference of Sample 1 compared to Sample 2.

i.e. 28.808 / 797.426 = 0.0361 (3.6%), instead of the difference +/- the standard error

How do I calculate the relative standard error?

Intuitions says divide SE with the same reference value of 797.426 --> 0.00698 (0.7%).

It was difficult to find good information on how to use RSE in a simple comparison case like this.

Or are there better ways to go about this?

Thanks in advanced for any useful input!

/MarcusR

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