B127 - Probability & Statistics

Overview

The class will teach the technical staff how to select the best control chart for any given problem and how most effectively deploy it. This class contains information that is not available from any other single source.

Population versus Samples
Descriptors of central tendency and dispersion of a distribution
Conditional Probability
Combinations
Permutations
Hypothesis Testing
Normal Distribution
Comparisons of the mean (z-test, and t-test)
Comparison of Variance (Chi-Square-test, and F-test)
Exponential distribution
Poisson distribution

Binomial, Geometric, and Hypergeometric distributions

Benefits

The class will teach the technical staff the fundamental concepts of statistics and
statistical analysis. This includes the following learning objective:

Understand the basics of statistics: data collection, data types and description, probability, random variables, expectation and variance operators
Understand statistical analysis: data distributions, normal probability plots, the central limit theorem, z-test and t-tests
Apply the fundamentals of statistics: sampling, confidence intervals, tests of hypothesis, comparing two populations, design of experiments, and regression analysis

Instructor John J. Flaig, Ph.D.

Instructor Bio

John J. Flaig, Ph.D. is a Fellow of the American Society for Quality (ASQ) and is managing director of Applied Technology, a consulting, training, and publishing company (www.e-AT-USA.com). He is Chair of the ASQ’s Statistics and Reliability group and was previously Program Chair for the Silicon Valley ASQ's Annual Quality Conference, the Scholarship and Awards program, and the Education program. His industry experience spans more than forty years where he was employed in everything from small startup operations to some of the largest companies in the world such as Apple, Applied Materials, and Hewlett-Packard. He is Advisor to and Adjunct Professor for the International Technological University. In addition he is Analytics Advisor to 1factory a Supplier Quality Management software company.

Dr. Flaig has published over twenty peer reviewed research papers in areas such as process capability analysis, adaptive control charts, factor effects analysis and SPC, optimal resource allocation, and supplier management. In addition he has published over seventy Quality Technology related articles in the popular press. He was formerly a member of the Editorial Board of Quality Engineering a journal of the ASQ, and Associate Editor of Quality Technology and Quantitative Management a journal of the International Chinese Association of Quantitative Management.

John has given lectures and seminars in Europe, Asia and throughout the United States. His special interests are in statistical process control, process capability analysis, supplier management, design of experiments, failure mode and effects, variation analysis, systematic problem solving, causation, and process optimization. He holds a doctorate in engineering and technology management from California Southern University, a master's degree in mathematics from the University of California, and a bachelor's degree majoring in mathematics and economics from California State Polytechnic University. Dr. Flaig received the 2012 Distinguished Alumnus Award from Cal Poly's College of Science.

https://www.linkedin.com/profile/view?id=85531&trk=spm_pic

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Course Times

Thursday August 10, 2017

9:00 a.m - 6:00 p.m.

Lunch Breaks: 12:00 - 1:00 p.m.

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Course Details

Prerequisites: Basic algebra concepts.

**Calculus is not necessary but aids in understanding the concepts**

Hardware: If possible, a computer for each student

Software: If possible, MS Office and Control Charts program from Applied Technology

Required Materials:

- Proof of online Payment

- Pencil and Paper, laptop/tablet if you prefer

- If you are an ASQ member, a current-dated ASQ Membership ID

- Valid ID(s): sites may require US citizens to provide a Driver's License or a State-Issued ID; if you are not a US citizen you must bring 2 valid forms of identification

- "The Cartoon Guide to Statistics", which is available from Amazon.com.

- A calculator capable of statistics - similar to the Sharp EL-5060.

- Any statistics book with t and F refence tables. While a (PDF Version) may work, looseleaf books are preferred.

Learning Method: Lectures, teams, hands on approach, and discussions

Class Time: 8 hours

Class Size: 25 max. participants

Facilities: Room with PC projector, whiteboard, etc.

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