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Question for Statistics Gurus
Posted on 7/13/14 at 6:49 pm
Posted on 7/13/14 at 6:49 pm
(Repost from tech board after thinking that might not be the best one for this)
So for work I am developing a new analytical method so serve as an alternative to current practices.
One of the data outputs of the model is in the form of difference of predicted value and value obtained by the reference method.
For instance:
Is there a way to statistically draw a line in the distrubution to say that we have a model with an acceptable error for application.
I was thinking something along the lines of computing the 95% confidence interval and seeing if the data matched it (that is, 95% of the results actually fell into the interval), but wasn't sure if I was making an invalid assumption doing that.
Any thoughts?
So for work I am developing a new analytical method so serve as an alternative to current practices.
One of the data outputs of the model is in the form of difference of predicted value and value obtained by the reference method.
For instance:
Is there a way to statistically draw a line in the distrubution to say that we have a model with an acceptable error for application.
I was thinking something along the lines of computing the 95% confidence interval and seeing if the data matched it (that is, 95% of the results actually fell into the interval), but wasn't sure if I was making an invalid assumption doing that.
Any thoughts?
Posted on 7/13/14 at 6:54 pm to Volvagia
i forgot 95% of the statistics i took in grad school 5 minutes after the final
if you dont get legit responses today, bump this thread on monday so you at least get the bored at work crowd
if you dont get legit responses today, bump this thread on monday so you at least get the bored at work crowd
Posted on 7/13/14 at 6:58 pm to Volvagia
iPhone>droid
hope that helps
hope that helps
Posted on 7/13/14 at 6:59 pm to Volvagia
From your statistical test you should have an alpha value built in, draw those on either side of your line to show confidence interval and basically a correlation window.
You can use a simple percent error equaiton
Or you can do +/- 0.05 if your confidence interval is 0.95 (95%).
Is there a reason your red line is at 0 and the blue line is just above it, or is that your regression line?
You can use a simple percent error equaiton
Or you can do +/- 0.05 if your confidence interval is 0.95 (95%).
Is there a reason your red line is at 0 and the blue line is just above it, or is that your regression line?
This post was edited on 7/13/14 at 7:02 pm
Posted on 7/13/14 at 7:08 pm to Volvagia
quote:yes, plot your data and then draw the two 95% cl lines with the regression line in the middle. This is assuming your data is normally distributed.
Is there a way to statistically draw a line in the distrubution to say that we have a model with an acceptable error for application.
Posted on 7/13/14 at 8:16 pm to Volvagia
The solution is right in front of you. If you want my help pm me and I'll tell you where to send the money.
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