BB

Hi
What is the logic of the 1.41 factor in arriving at the no.of distinct categories ?
BB
 

Hi Adam
Could you also email it to me at [email protected]
Many thanks
BB

Cummins does

Thanks Rob
In BB class we were taught to use excel to code the table and then calculate the Average high and low, effect and coefficient to get the prediction equation.
Is this not the same thing as just setting up your design in Minitab using coded values. If so, if I have 4 factors with different levels, i.e. Temp & Time with two levels (…[Read more]

Thankyou,
In this model how would this affect how calculate the Y average High & Low i.e. how do I treat the 0’s? Do I bother about them?
Also is it truely always advisable to use coding in DOE’s?

What???  No mention of Don Wheeler???  Are we converting you Steve???

There is no such thing as perfectly normal data.  You will never know precisely your data’s distribution.  Shewhart developed control charts without any assumption of data distribution.  Note that Shewhart did not rely on the Central Limit Theorem.
Histograms also do not require any assumption of data distribution.

Charting for charting’s sake is a waste of time.  What is the problem you are trying to solve ?

Hi Harry ,
     Could you please explain further : Why when n > 15  , we can forget the use of 3 sigma limits for sub-groups of the control chart. I want to learn.
Thanks ,
BB

It wouldn’t.
Six sigma has enough nonsense of it’s own without adding to it.

If it was 800mg in 800g of product, that would be a concentration of 1000 ppm.
It’s not hard to see why I’m a black belt is it ?

Darth is correct.  Advantages is not relevant.  Perhaps the only “disadvantage” is that you need to ensure that your data follows the assumptions of each of the associated distributions.  If not, use an XmR chart.  Although less sensitive, it does not assume a particular distribution (there are many fallacies around this, largely propagated by aut…[Read more]

Six sigma has been given a bad name by all the crap associated with it.
Continuous improvement in the true sense as used by Toyota, is far more useful.

Nice to see that no one has fallen into the error of claiming that control charts depend on the central limits theorem.

Read pages 16 to 32 “Normality and the Process Behaviour Chart” for a fascinating analysis of the Quincunx. Surprisingly, the distribution of balls is not binomial  !!!

stan baby…
i’m sure u’v made it very clear (as an adult) for someone who is “NEW” at this!!!
man… u’r so matured…!!!
OK…I shall make it even more simple…just for u:
” If u’r estimated part to part variation, estimated @ 99.73% Confidence Level viz. nothing but u’r 6sigma lies within u’r customer or process specific tolerance…[Read more]

Man…. u rock!!
Naima… pc of advice: Pls do contact u’r faculty from where u got the BB certification.  

hi JB,
U r close enough!…” If u’r 6 sigma limits are below USL & above LSL then process is capable or defect free (in simple words)”  but most importantly if u’r 6 sigma limits = 50% of u’r tolerance limits then u’r process is 6sigma capable.
…easy isn’t it!
bye
 
 

Darth claims:  ‘All is revealed in his online book entitled “Mysteries of Six Sigma”.  ”
Where are you Darth ?  Is Stan correct ?

Darth,
Could you please share with us how this book answers these basic questions.