“Engineering Statistics” is an online course offered at Statistics.com. Statistics.com is the leading provider of online education in statistics, and offers over 100 courses in introductory and advanced statistics. Courses typically are taught by leading experts. Some course highlights - A. Taught by renowned International Faculty (Not self-paced learning) B. Instructor led and Peer learning C. Flexible and Convenient schedule D. Practical Application and Software skills For more details please contact info@c-elt.com. Website: www.india.statistics.com

1. Online course
Engineering Statistics
Taught by Dr. Thomas P. Ryan
(http://www.statistics.com/engineering/)
Aim of Course:
This course goes beyond the standard coverage of introductory statistics to cover topics
important to practicing engineers. Participants will learn how to calculate prediction
intervals, confidence intervals, and calibration intervals. Participants will also learn to
assess measurement error, and measurement system appraisal to determine whether
measurement systems are in control. Measurement system appraisal is critical because
the results of any statistical analysis will be compromised if there is substantial
measurement error. Similarly, designed experiments (not covered in the course) can be
seriously undermined when there is measurement error. The course will also cover life
testing, accelerated life testing, and reliability testing.
Who Should Take This Course:
Those involved in monitoring and testing products and processes in industry.
Course Program:
Course outline: The course is structured as follows
SESSION 1: Prediction and Tolerance Intervals
 Tolerance intervals
o 2-sided
o 2-sided, asymmetric
o 1-sided, bounded
o Distribution-free intervals
 Prediction intervals
o Known parameters
o Unknown parameters, normality assumed
 Sensitivity to non-normality
o Non-normal distributions
 Single observation
 Number of failures
SESSION 2: Measurement System Appraisal
 Calibration intervals
 Components of measurement variability

2.  Tolerance analysis
 Graphical methods
 Bias and calibration
SESSION 3: Reliability and Life Testing
 Repairable and non-repairable populations
 Accelerated testing
o Arrhenius equation
o Inverse power function
o Degradation data and acceleration models
 Censoring
 Distributions and models
o Exponential
o Weibull
o Lognormal
o Extreme value
 Reliability prediction
SESSION 4: Application of Other Concepts*
 Improving reliability with designed experiments
o Sample size determination
 Regression
o Measurement Error
o Calibration
o Control
Homework:
Homework in this course consists of short answer questions to test concepts, guided
data analysis problems using software, and guided data modeling problems using
software.
Software:
No specific software is required.
Instructor:
Dr. Thomas P. Ryan, author of "Statistical Methods for Quality Improvement," "Modern
Engineering Statistics," and more, is an elected Fellow of the American Statistical
Association, the American Society for Quality, and the Royal Statistical Society.

3. This course takes place over the internet at the Institute for 4 weeks. During each course
week, you participate at times of your own choosing - there are no set times when you
must be online. The course typically requires 15 hours per week. Course participants will
be given access to a private discussion board so that they will be able to ask questions
and exchange comments with instructor, Dr. Thomas P. Ryan. The class discussions led
by the instructor, you can post questions, seek clarification, and interact with your
fellow students and the instructor.
For Indian participants statistics.com accepts registration for its courses at reduced
prices in Indian Rupees through us, the Center for eLearning and Training (C-eLT), Pune.
For India Registration and pricing, please visit us at www.india.statistics.com.
Email: info@c-elt.com
Call: +91 020 66009116
Websites:
www.india.statistics.com
www.c-elt.com