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re: Question for Statistics Gurus
Posted on 7/13/14 at 7:08 pm to Volvagia
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.
2
Posted on 7/13/14 at 7:24 pm to Winkface
need to know a little bit about the design of the experiment first.
I find that in most of my consulting work, people misspecify the model and there results are completely wrong.
CRD, RBD, Latin Square?
It looks like you are comparing something to a control thus if it was a designed experiment and you are looking to test the differences with the control you would use what is called Dunnet's post hoc test.
I find that in most of my consulting work, people misspecify the model and there results are completely wrong.
CRD, RBD, Latin Square?
It looks like you are comparing something to a control thus if it was a designed experiment and you are looking to test the differences with the control you would use what is called Dunnet's post hoc test.
This post was edited on 7/13/14 at 7:25 pm
Posted on 7/13/14 at 7:27 pm to Winkface
quote:
This is assuming your data is normally distributed.
It passes normality tests. At least enough to apply the central limit theorem.
quote:
yes, plot your data and then draw the two 95% cl lines with the regression line in the middle.
That's what I was thinking.
So I am accurate in saying that the model is at a 95% confidence interval only 5% of n is outside the 95% range?
Or do they all have to be in the interval?
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