• HOME
  • ABSTRACTS
  • Assessing Process Capability When the Data are Non-normal
LEAN SIX SIGMA WORLD CONFERENCE ABSTRACT

Assessing Process Capability When the Data are Non-Normal

Presenter:

Dr. Scott Kowalski, Senior Technical Trainer, Minitab, Inc., Sanford, FL, USA

Keywords:

Process Capability, Nonnormal Data, Case Study

Industry:

Manufacturing

Level:

Intermediate

Process capability measures, such as Cpk, Ppk and tolerance intervals, typically assume that your data follow a normal distribution. But what should you do when your data fail the test of normality? There are many reasons for non-normal data. However, one of the most common reasons is that the data are naturally skewed due to a physical bound on the data or when extreme values tend to occur in only one tail of the data distribution. Case studies will be used to facilitate strategies for assessing process capability that you can successfully apply to your own data that are not normally distributed.

Following the presentation, you will be empowered to implement successful strategies for assessing process capability when the normality test fails:

    • Transform data to use capability statistics that assume a normal distribution.
    • Choose an appropriate distribution to model data that are non-normal.

REGISTER NOW
Download a copy of the Conference Brochure Please select the relevant Registrant Type from: a) Conference & Workshops; b) Exhibits & Sponsorship; c) Speakers & Co-Speakers

REGISTER NOW


Download Registration Form

SPEAKERS' CORNER
Submit your PowerPoint by
January 31, 2019
Speakers’ Orientation Meeting:
Tuesday, March 12, 2019,
6 PM-7 PM
Please download the Speaker Instructions here

Conference Chair's Message 

Joel Smith

This year’s conference is focused on making sure we are “continuing” our journey as practitioners. Whatever your level of experience, you will learn new concepts, new perspectives and network with the best in the industry.

read more