gn228169 wrote:
> When analyzing a new method or process, we usually use a t-test to see
> if the new method is equivalent. If it is not, we look at the variance
> and target values to see if it failed because it was "better" Is there a
> statistical test to check for "better" without checking first for
> equivalence and then for variance and target?
> Thanks, Jim
You've got some 'splainin' to do. What's the difference between a
"process" and a "method"? You put "better" in scare quotes, apparently
because you understand that it's a relative concept, but you don't tell
us about what makes "better" better. What are your criteria? Are you
considering only output values? Are there fiscal considerations (i.e.,
given equivalent output, is one process better because it's less
costly)? What, exactly, are you trying to do?
|
