TE Variation.com

Dr. Wayne Taylor - Taylor Enterprises, Inc.
Applied Statistics
for Engineers and Quality in the FDA Regulated Industries

Search variation.com

Enter keywords: 

Exact Match Search


Site Map

Products (HOME)






Acceptance Sampling

Process Validation

CAPAs and Trending of Quality Data


Measurement Systems Analysis

Spec Setting, Tolerance Analysis and Robust Design

General Statistics

Statistical Process Control

Design of Experiments

Six Sigma


What's New

Technical Library


  Contact Info

Dr. Wayne A. Taylor   linkedin
Ann Taylor
1 (847) 367-1032
1 (847) 367-1037
Postal address
5510 Fairmont Rd.
Libertyville, IL 60048
Electronic mail


Subscribe to our Web Site

By entering your e-mail address and clicking the Subscribe button, you will automatically be added to our mailing list.  You will receive an e-mail when new versions of our software or books are available as well as other significant announcements.  (privacy policy).

E-mail address to send notifications to:



Normality and Transformations (1/2-day)


Dr. Wayne A. Taylor

Course Objective

This half day course is designed to help you handle variables sampling plans.  Variables sampling plans assume the data fits the normal distribution and are relatively sensitive to departures from normality.  This course teaches how to test for normality and how to handle situations when the data is not normal including fitting other distributions and transforming the data.  This course is task orientated in that it provides all the knowledge and tools required to handle variables sampling plans.  No prior knowledge or special background is required.  It utilizes MINITAB, JMP or  Distribution Analyzer software packages.   

What You Will Learn

  • Answer the question: "Why is normality important?"
  • How to test for normality.
  • How to control false rejections due to large data sets and poor measurement resolution 
  • How to handle departures from normality including:
    • Nonnormal distributions (fitting other distribution and transformations)
    • Outliers
    • Subgroups
    • Shifts
    • Truncated data
  • Step-by-Step procedure for executing variable sampling plans 

Primary Audience

This course is designed for those individuals who have variables data and are responsible for either manufacturing or validation sampling plans. This includes engineers, manufacturing and quality supervisors, and management.  No special statistical or mathematical background is required.

Course Outline

  1. Overview
  2. Testing for Normality
  3. Reasons for Failing a Normality Test
  4. Preventing Failures
  5. Handling Failures
  6. Handling Variables Sampling plans During Validations (Writing Protocol)
  7. Handling Variables Sampling Plans During Manufacturing (Writing Procedure)



Related Courses

Validation Sampling Plans
Successful Acceptance Sampling (manufacturing focus)

Copyright 1997-2017 Taylor Enterprises, Inc.
Last modified: September 08, 2017