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PUBLIC PRESENTATIONS
(workshops, classes, seminars, and webinars)
to be given by John Zorich

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IN-PERSON 2-day PRESENTATIONS:
APPLIED  STATISTICS WITH EMPHASIS ON RISK MANAGEMENT IN  R&D,  MFG.,  AND  QA/QC

This is a 2-day statistics seminar offered through commercial training companies; costs vary depending upon the number of participants from a single
company; for registration information, write to:  JOHNZORICH@YAHOO.COM

Day 1 topics:
•   Regulatory requirements
  Basic vocabulary
•   Confidence Intervals
•   Significance Tests
  •  Null Hypothesis
  •  t-Tests
  •  ANOVA
  •  P-values
•   Power calculation (e.g., for t-Tests)
•   Confidence and Reliability Calculations
  •  Attribute ( pass / fail ) data
  •  Variables (measurement) data
      K-tables (for Normally-distributed data)
      How to Transformation Non-Normal data into Normality
      MTTF and MTBF calculations and confidence limits

Day 2 topics:
•   Reliability Plotting: confidence and reliability calculations for...
  •  Data that cannot be transformed to Normality
  •  Data with many replicate values
  •  Data from incomplete studies (i.e., time or equipment censored)
  •  Data comprising a mixture of distributions (bi-modal, tri-modal,...)
•   Statistical Analysis of Gages
•   QC Sampling Plans
•   Statistical Process Control (SPC)
  • Control charts (variables data, and count data)
  • Process Capability Indices

At the start of each day, the students are given a set of spreadsheets designed to help teach the topic
and to be used back at work to enforce and practice what's been learned.
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THE STATISTICS OF:
         DESIGN VERIFICATION, PROCESS VALIDATION, & STATISTICAL PROCESS CONTROL

This is a 2-day statistics seminar offered through commercial training companies; costs vary depending upon the number of attendees from a single
company; for registration information, write to:  JOHNZORICH@YAHOO.COM
                      

Day 1 topics:    STATISTICAL ANALYSIS OF DESIGN VERIFICATION DATA AND PROCESS VALIDATION RESULTS
•   Regulatory requirements
  Basic vocabulary & concepts
•   How to interpret Linear Regression Correlation coefficients
•   How to calculate confidence intervals (for proportions & for measurements)
•   How to perform an interpret t-Tests: "significance", "p-values", "power" and sample-size considerations, and the concepts of "superiority" and "non-inferiority".
•   How to understand the output of an ANOVA calculation
•   Calculation of confidence and % in-specification (=reliability) for
o   attribute data
o   MTTF  & MTBF (Mean time to Failure, and Mean time between Failure)
o   normally-distributed variables data (including test for normality)
o   non-normal data after transformation to normality
o   extremely non-normal data that cannot be transformed to normality

Day 2 topics:    STATISTICAL PROCESS CONTROL (SPC) AND PROCESS CAPABILITY INDICES
•    What is Quality ?
•    Process Variation
•    What is Statistical Process Control ( SPC ) ?
•    Basic Types of Control Charts and how to construct them:   XbarR,  XbarS,  XmR,  P,  and U.
•    Control Limits: Calculation & Re-calculation
•    Out of Control: How to Detect It, & What to Do if Detect It?
•    Sample Issues: Random, Sub-grouping, & Sample Size
•    Capability Indices and how to calculation them
•    Non-normal Data, and its impact on SPC.
•    How to Initiate & Implement a Successful SPC Program

At the start of each day, the students are given a set of spreadsheets designed to help teach the topic
and to be used back at work to enforce and practice what's been learned.
.
.