Statistics.com instructors have written hundreds of books, and none
is more of a classic than Tom Ryan's "Statistical Methods for Quality
Improvement." In January, you will have an opportunity to interact
directly with Dr. Ryan in his online course, “Statistical Process
Control,” January 14 – February 4, 2011 at statistics.com.
Upcoming Courses:
Jan. 14: Probability Distributions
Jan. 14: Statistical Process Control (more below)
Feb. 18: Multivariate Statistics
Feb. 18: Design of Experiments
This course will go beyond the basics of SPC and present some
improved control chart methods, including better ways of determining
the control limits of standard charts such as an R-chart, p-chart,
np-chart, c-chart and u-chart. The course will also address the
following questions. Are control chart assumptions important? If
so, which ones are especially critical? What is the effect on control
chart properties if the assumptions are not met? How should the
assumptions be checked? What action(s) should be taken if the
assumptions are not met?
This course will benefit anyone who has received an introduction to
SPC and is ready to learn some finer points that can be very
important in enabling the proper and most efficient use of control
charts. This includes Six Sigma black belts and, in general, everyone
who uses control charts at a comparable level, as well as those
people who are responsible for Six Sigma training programs.
Thomas P. Ryan is the author of "Statistical Methods for Quality
Improvement," "Modern Engineering Statistics," “Modern Experimental
Design,” and other books, along with numerous scholarly papers. He
is an elected Fellow of the American Statistical Association, the
American Society for Quality, and the Royal Statistical Society. He
served on the Editorial Review Board of the "Journal of Quality
Technology" from 1990 through 2006 and was the Book Review Editor of
that journal from 2003 through 2006. Participants can ask questions
and exchange comments with Dr. Ryan via a private discussion board
throughout the period.
Virtually all of the computations for the course can be handled using
Microsoft Excel, as well as general purpose statistical software.
This course does not require the use of specialized SPC software
capabilities such as those found in Minitab, JMP and Statgraphics,
though it does afford a useful opportunity to familiarize yourself
with those features and understand them in the context of the
underlying concepts behind SPC.
Details:
http://www.statistics.com/courses/engineering-2/spc/
This course takes place online at statistics.com in a series of 4
weekly lessons and assignments, and requires about 15 hours/week.
Participate at your own convenience; there are no set times when
you are required to be online.
Hope to see you online,
Janet Dobbins
statistics.com
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|