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Statistical Methods for Quality Engineering

Statistical Methods for Quality Engineering

Purpose
The purpose of this training is to provide those who have the responsibilities of product or process development and testing the means to make effective decisions concerning product or process changes. The variation of the product or process performance must be statistically addressed to make decisions with the appropriate confidence. Technical personnel are consistently making changes to product and process designs and the resultant performance changes need a statistical basis for moving ahead to the cost assessment and release phases.

This course is also very good for the person seeking to attain the Certified Quality Engineering status within the American Society for Quality.

This course is facilitated by Phil Ross – President of International Quality Services Inc

Course Description
This three-day course is aimed at the person(s) responsible for product and process changes. Specifically, the person attending this class should have at least high school mathematical and graphing skills, a good technical understanding of products and processes in their work environment, and a good technical understanding of testing methods and protocols.

Various continuous and discrete probability functions are covered with the normal distribution receiving the most emphasis. Other distributions that are addressed are the Weibull, Exponential, Binomial, Poisson, and Hypergeometric plus a section on nonparametric comparisons. Various confidence intervals and tests of comparison for these probability functions are covered. Some key tests of comparison are the Z test, Student’s t tests, Chi-Square test, F test, and ANOVA for the normal distribution. The attendee will work along with the instructor on many examples throughout the three days.

What The Participant Will Learn

The participant will learn:

  • How to select the proper distribution model
  • How to determine valid sample sizes
  • How to design valid tests of comparison
  • How to make effective decisions at stated confidence levels

Course Materials

The materials for the SMQE class are handout materials only (no textbook or manual needed) which make up approximately 220 pages.

Statistical Methods for Quality Engineering

(three-day course)
1. Introduction

1.1 training objectives
1. 2  statistical resources

3. Concept of variation

3.1 common development questions

3.3 histograms

3.3 descriptive statistics

3. Distribution Models

3.1 continuous

3.2 discrete

3.3 applications

4. Model Selection

4.1 empirical distribution functions

4.2  cumulative distribution functions

4.3 normal probability paper

4.4 small sample sizes and median ranks

4.5 tests for normality

5. Parametric Evaluations and Tests

5.1 normal and log-normal data

5.1.1  Z confidence intervals and tests

5.1.2  t confidence intervals and tests

5.1.3  Chi-Square confidence intervals and tests

5.1.4  K factor confidence intervals

5.1.5  F tests

5.1.6 Analysis of Variance

5.2 Weibull distribution confidence intervals and tests

5.3 Exponential distribution tests

5.4 Poission distribution applications

5.5 Binomial distribution applications

5.6 Hypergeometric applications

6. Nonparametric Tests

6.1 sign tests

6.2 run tests

6.3 rank tests

For more information contact:

Bill Martin

Phone – 931.637.1446

E-mail – BMartin@MBCIncorp.com