What does it all mean? And how do you calculate it?
Жүктеу.....
Пікірлер: 6
@wirtsleg3 жыл бұрын
This was a wonderful explanation that I haven't been able to find anywhere else. In what literature may I read more about this issue? In my current statistical book it barely touches the subject.
@shortchemistry7927
3 жыл бұрын
My colleagues and I actually wrote a textbook, that is entirely FREE for you to download. Google the Trace Analysis Research Center Dalhousie University. Click the education link to download a copy of "An Introduction to Analytical Chemistry"
@petermyintzaw3 жыл бұрын
Thank you awesome
@tjgolaso3 жыл бұрын
The only thing I wonder is why 3? Is it just a number that just seems to consistently work well to determine a good S/N?
@shortchemistry7927
3 жыл бұрын
Noise can be assumed to be random, and follow a standard normal distribution (bell shaped curve). A signal to noise of 3 means 3 standard deviations above the mean (baseline). A random spike in the baseline with S/N above 3 only happens about 5% of the time. So basically, it's a way of picking how sure you want to be that your signal is real, based on 95% confidence.
Пікірлер: 6
This was a wonderful explanation that I haven't been able to find anywhere else. In what literature may I read more about this issue? In my current statistical book it barely touches the subject.
@shortchemistry7927
3 жыл бұрын
My colleagues and I actually wrote a textbook, that is entirely FREE for you to download. Google the Trace Analysis Research Center Dalhousie University. Click the education link to download a copy of "An Introduction to Analytical Chemistry"
Thank you awesome
The only thing I wonder is why 3? Is it just a number that just seems to consistently work well to determine a good S/N?
@shortchemistry7927
3 жыл бұрын
Noise can be assumed to be random, and follow a standard normal distribution (bell shaped curve). A signal to noise of 3 means 3 standard deviations above the mean (baseline). A random spike in the baseline with S/N above 3 only happens about 5% of the time. So basically, it's a way of picking how sure you want to be that your signal is real, based on 95% confidence.
standard error and SD are not the same!