Engineering Statistics
Dr. Thomas P. RyanAim of Course:
This course presupposes basic knowledge of probability and statistics and addresses areas such as:- prediction intervals,
- tolerance intervals,
- calibration intervals,
- measurement error,
- accelerated life testing,
- measurement system appraisal,
- and, reliability and lifetime testing.
Who Should Take This Course:
Those involved in monitoring and testing products and processes in industry.For those enrolled in Professional Advancement Programs, this is a required or elective course in the following Programs:
- Engineering Statistics - required
Course Program:
The course is structured as followsSESSION 1: Prediction and tolerance intervals
- Tolerance intervals
- 2-sided
- 2-sided, asymmetric
- 1-sided, bounded
- Distribution-free intervals
- Prediction intervals
- Known parameters
- Unknown parameters, normality assumed
- Sensitivity to non-normality
- Non-normal distributions
- Single observation
- Number of failures
- Calibration intervals
- Components of measurement variability
- Tolerance analysis
- Graphical methods
- Bias and calibration
- Repairable and non-repairable populations
- Accelerated testing
- Arrhenius equation
- Inverse power function
- Degradation data and acceleration models
- Censoring
- Distributions and models
- Exponential
- Weibull
- Lognormal
- Extreme value
- Reliability prediction
- Improving reliability with design experiments
- Sample size determination
- Regression
- Measurement Error
- Calibration
- Control
*This section provides engineering applications of concepts that are not fully covered here, but are covered in other statistics.com courses: Design of Experiments, Introduction to Regression, and Sample Size and Power Determination. You will probably get more out of these illustrations if you have previously covered this material, but this is not a course requirement. The examples can also serve to provide meaningful context and motivation for further study.
The Instructor:
Thomas P. Ryan is the author of Modern Engineering Statistics, Modern Experimental Design, Modern Regression Methods and Statistical Methods for Quality Improvement, all from Wiley, plus numerous papers in peer-reviewed journals. He is an elected Fellow of the American Statistical Association, American Society for Quality, and Royal Statistical Society, and has been listed in Marquis Who's Who in America. 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.Organization of the Course:
The course takes place over the internet, at statistics.com. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor. The course is scheduled to take place over 4 weeks, and typically requires 10-15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.Certificates and Grades:
You may be interested only in learning the material presented, and not be concerned with grades or certificates. Or you may be enrolled in a statistics.com Professional Advancement Program that requires demonstration of proficiency in the subject, in which case your work will be assessed for purposes of issuing a grade. Or you may require only a "Certificate of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). As you begin the class, you will be asked to specify your category.Credit:
This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a certificate will be issued by statistics.com, upon request.Dates:
Oct. 17 - Nov. 14, 2008Click here to be notified of future course offerings.
Participants gain access to the online materials on the first day of the course, and typically spend about 10-15 hours per week (at their convenience). You retain full access to course materials, including discussion board, for two weeks after the course closing date.
Level:
IntermediatePrerequisite:
The equivalent of Introduction to Statistics I: Inference for a Single Variable, and Introduction to Statistics II: Working with Bivariate Data (and, if necessary before these courses, Introduction to Statistics for Beginners or Survey of Statistics for Beginners). (Also note the comments in the outline, session 4, concerning regression, design of experiments, and sample size and power.)Course Text:
Modern Engineering Statistics (Wiley) by Thomas Ryan. Ourder directly from the publisher here.PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.
Software:
No specific software is required.Registration:
Register Online - $449Register Online (academic) - $349 (you must be affiliated with a college, university or high school)
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.
Note: Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.