Advanced Statistics

Course Description:

This course helps you to understand the more advanced analysis tools in your “tool belt” to provide high quality qualitative and quantitative statistical data for your projects.

Attendees will learn:
This course builds on the Introduction course.

Topics include:

Design of Experiments (DOE):
Purpose of the DOE, Design Guidelines & Process, One and multifactorial designs.
ANOVAs:
Types of ANOVA, Assumptions & Considerations, Variability, Computation.
FMEA: Identify Potential Failure Modes, Identify any Potential Effect(s) of Failure, Rank Severity of the Effect (1-10), potential and possibility, Rank Your Ability to Detect a Failure Using these Controls, Calculate the risk-priority number (RPN), Design Recommended Improvement Action(s)
T-Tests: Why t Test, Select the labels and data, Select ANOVAs and Analysis Tools then t test, Input the confidence level, Evaluate the t Stat to evaluate the hypotheses.
Regression: Multicollinearity, Variance Inflation Factor, Testing Normality, Equal Variances, Multiple Regression with VIF, Reducing & Predictive Capability.
Box-Cox Transformation: The risks of transforming data, Why not to transform data in today’s statistical toolset environment, Recommended tools to deal with the transformation issue, Nonparametric tools.

Includes a full copy of QI Macros, a $139 value with each course

Intended Audience:
This course is for Engineers, Managers, Six Sigma professionals and anyone seeking understanding of advanced statistical tools and their application.

Anyone seeking to expand their job possibilities, job training, and professional development. Dislocated Workers facing career changes, WIA, NEG, TAA and Veteran Funded students supported.

PDUs/Educational Hours
14