SS511 Hypothesis Testing for Observational Data

 Email this information to yourself or a friend
 Remind me of this course at a later date

Course Description

This course will empower you to extract maximum meaning from your data. They allow you to answer the questions – has there been a change in my process or product? Is this process or product different from this one?  Is there a correlation between these two or more factors and, if so, how can I predict future changes in my process or product? What do changes in these variables predict about changes in this variable?

Statistically designed experiments (DOE) apply the same principle methods you will learn in this course. However, while statistically designed experiments are the best way to confirm cause and effect, sometimes we haven’t had or it may be impractical to run designed experiments. These techniques give the next best option available to discover correlation and identity variables important to controlling and optimizing your processes and products and identifying root causes leading to effective corrective action.


A laptop is required for this course.

Completion of Six Sigma Black Belt courses SS501 - SS510.




Applies Towards the Following Certificates


  SS511 - 003 Hypothesis Testing for Observational Data      
  2015-2016 - Winter 2016   Status:  Available
Class Schedule: 2 Sessions
Contact Hours: 11.5
Course Fee(s):
Course Fee non-credit    $689.00
Potential Discount(s):
Early Bird Discount
Referral Discount
  1.15 CEUs
Location:   Center for Executive and Professional Education
In-class:   Tue 8:00AM - 4:30PM
23 Feb 2016
Building: Crown Plaza Building
Room: Ross (100B3)
In-class:   Wed 8:00AM - 12:00PM
24 Feb 2016
Building: Crown Plaza Building
Room: Ross (100B3)
Delivery Options:  In Class
Instructors: Steve Zagarola, Aubrey Kendall
  Section Notes:  

Course Dates are February 23 (8-4:30) and February 24 (8-12)