Granite State Chapter 0104
Statistics Refresher Course

We apologize but this course offering has been cancelled.

A command of statistics is the cornerstone of the Quality professional’s knowledge. It has become an indispensable tool used in virtually every manufacturing and academic discipline; therefore, some familiarity with statistical methods is essential for all of us.

This course provides the student with the principles and concepts of descriptive and inferential statistics using real-world examples. It is intended to give a sound introduction to the statistical procedures used in quality engineering without the anxiety usually associated with this study. Introductory high school algebra is the only prerequisite for this course.

This course will be presented in (12), 3-hour sessions, one session per week (36 hours). There will be some homework assignments but no tests or quizzes will be given.

30 years of experience in Quality Management and Quality Engineering. Work experience includes: QMS (ISO 9001) implementation and management, member of product development teams, customer support, supplier development, quality cost optimization, internal audits, and other quality management activities. Current focus is on developing and conducting in-house training on statistical methods for the Quality team members, Product Development Engineers, and Manufacturing personnel. ASQ instructor for Merrimack Valley, Granite Section and Boston sections for 20+ years.

Session 1:             Nature of Statistics · Organizing Data · Simple Random Sampling · Grouping Data · Graphs and Charts Measures of Center and Variation

Session 2:             Probability Basics · Rules of Probability · Contingency Tables

Session 3:              Discrete Random Variables · the Binomial Distribution · the Poisson Distribution · the Hypergeometric Distribution

Session 4:              The Normal Distribution · Assessing Normality · Sampling Error; the Need for Sampling Distributions · Sampling Distribution of the Sample Mean

Session 5:               Confidence Intervals for One Population Mean · Margin of Error · Student’s t-Distribution · Nature of Hypothesis Testing · Hypothesis Tests on One Population Mean · Type I and II Error Probabilities · p-Values

Session 6:               Hypothesis Test and Confidence Intervals for Two Population Means · Nonparametric Methods – The Mann-Whitney Test · Inferences on Two Population Means Using Paired Samples · Inferences on Population Standard Deviations

Session 7:              Inferences on Population Proportions · Chi-Squared Procedures · Contingency Tables: Association

Session 8:              Descriptive Measures for Correlation and Regression · Inferential Methods for Correlation and Regression

Session 9:              Analysis of Variance (ANOVA) · The F-Distribution · Principles of Design of Experiments (DOE)

Session 10:            Introduction to Statistical Process Control (SPC) · Process Capability Studies

Session 11:            Measurement Systems Analysis · Gage R&R Studies

Session 12:            Miscellaneous topics: Acceptance Sampling · Reliability Statistics · Dealing with Outliers 

We apologize but this course offering has been cancelled.

You may register by printing, completing, and mailing this form or you may download the form below to:

Kurt Stuke

98 Alsace Street

Manchester, NH 03102

Please include a check  for $600, payable to “ASQ Granite State 0104” with your registration form.  Or you may choose to pay via credit cards using PayPal.  The course cost is $618 if using a credit card.  Click the PayPal button below.

• Payment must be received by February 24th, 2017 in order to be admitted into the course. No refunds will be made.
• Course registration does not include examination registration fees.
• Course registration does not include cost of text.
• We reserve the right to cancel a refresher course due to low enrollment.  Payments will be refunded to the address provided on the registration form in case of course cancellation.

Completion of the above refresher courses in no way guarantees the obtaining of a credential.