hexagon logo

Standard deviation

Hello all,

Not being a statistician, what exactly is the standard deviation of each tip telling me.
Besides the formal definition of " a measure of how dispersed the data is in relation to the mean.",
if one of the tips has a standard deviation of .0002 (inches) and another .0005, how will that translate
to the accuracy of the real time measurements of those tips?
Is that for the deviation of the dynamic tip radius and does that differ from a qualification check which
seems to give a xyz and polar radius deviation of each tip relative to the sphere measurement location?

Thanks for any technical insight
Parents
  • The standard deviation is essentially telling you how much variation your points have. A large standard deviation means there is a lot of variation which could be caused by a number of undesirable things - dirt on the tip / cal shpere, a damaged tip / cal sphere (chips, flats, scratches etc) or even be an indication that something is loose - stylii not tightended correctly, cal sphere not bolted down fully, the list goes on.

    As Jefman said, the smaller the standard deviation the better but it is somewhat dependent on what machine you are using and what type of sensor you have.
Reply
  • The standard deviation is essentially telling you how much variation your points have. A large standard deviation means there is a lot of variation which could be caused by a number of undesirable things - dirt on the tip / cal shpere, a damaged tip / cal sphere (chips, flats, scratches etc) or even be an indication that something is loose - stylii not tightended correctly, cal sphere not bolted down fully, the list goes on.

    As Jefman said, the smaller the standard deviation the better but it is somewhat dependent on what machine you are using and what type of sensor you have.
Children
No Data