Shaping statistics for success in the 21st century: The needs of industry
Gary C McDonald
The American Statistician; Aug 1999; 53, 3; ABI/INFORM Global
pg. 203
Reproduced with permission of the copyright owner. Further reproduction prohibited without perm

8/27/2016
InterpretingMinitabsGageR&RChartBusinessPerformanceImprovement(BPI)
Interpreting Minitabs Gage R&R
Chart
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Minitab provides a great Gage R&R six-pack chart, when performing a
Gage study. However, there is some confusion and a

Normal Probability Plots and Tests for
Normality
Thomas A. Ryan, Jr. and Brian L. Joiner, Statistics Department, The Pennsylvania State
University 1976
Acknowledgments: Helpful assistance from Dr. Barbara Ryan and discussions with Dr.
James J. Filliben an

Process Capability Analysis Using MINITAB (II)
By Keith M. Bower, M.S.
Abstract
This paper builds on the content covered in the previous edition of EXTRAOrdinary
Sense. Frequently, quality practitioners find that the assumption of modeling a process
using

SOFTWARE
MODELING NON-NORMAL DATA
Using Statistical Software
Process control and process capability can now be modeled using non-normal distributions.
C
onsider the following examples of key quality characteristics for
different products:
Trace contamina

Modeling and Interpreting Interactions in
Multiple Regression
Donald F. Burrill
The Ontario Institute for Studies in Education
Toronto, Ontario Canada
A method of constructing interactions in multiple regression models is described which
produces interact

Some Misconceptions about the Normal Distribution
By Keith M. Bower, M.S.
Reprinted with permission from the American Society for Quality.
As part of a Six Sigma training course, practitioners are introduced to arguably
the most important probability dist

Process Capability Analysis Using MINITAB (I)
By Keith M. Bower, M.S.
Abstract
The use of capability indices such as Cp, Cpk, and Sigma" values is widespread in
industry. It is important to emphasize that there are certain crucial assumptions, which
allow

Sample Size Determination for the Test of One Proportion
By Keith M. Bower, M.S.
Abstract
It is frequently necessary for manufacturers to assess whether a batch of product
meets a certain level of quality (e.g. less than x% of items are defective). It is

Some Misconceptions About R2
By James A. Colton, M.S. and Keith M. Bower, M.S.
Abstract
The coefficient of multiple determination, commonly known as R2, is widely used in
regression analysis. Frequently, practitioners observe R2 as a way to assess the use

APE.1207.p.38-39 - Minitab
1/11/08
4:03 PM
Page 1
COMPUTER SYSTEMS/SOFTWARE
Identifying the distribution
of data is key to analysis
There is a simple way to find the true
distribution of your data so you can select
the appropriate analysis.
K
nowing the d

Some Misconceptions about Confidence Intervals
By Keith M. Bower
Reprinted with permission from the American Society for Quality
Six Sigma practitioners often require a reasonable range of values for some characteristic
of a process (e.g., the process mea