ComplianceOnline

Tests for Outliers

Instructor: Steven Wachs
Product ID: 704404
  • 10
  • July 2017
    Monday
  • 10:00 AM PDT | 01:00 PM EDT
    Duration: 60 Min

Live Online Training
July 10, Monday 10:00 AM PDT | 01:00 PM EDT
Duration: 60 Min

$199.00
One Dial-in One Attendee
$399.00
Group-Max. 10 Attendees/Location
(For multiple locations contact Customer Care)

recorded version

$249.00
1x Person - Unlimited viewing for 6 Months
(For multiple locations contact Customer Care)
Recorded Link and Ref. material will be available in My CO Section 48 hrs after completion of Live training

Training CD

$299.00
One CD is for usage in one location only.
(For multiple locations contact Customer Care)
CD and Ref. material will be shipped within 15 business days after completion of Live training

Customer Care

Fax: +1-650-963-2556

Email: customercare@complianceonline.com

Read Frequently Asked Questions

This training program will address when to exclude outlying data points from an analysis. It will illustrate how best to apply sensitivity analysis to determine the impact of removing data. Participants will learn to perform and interpret hypothesis tests for outlier detection.

Why Should You Attend:

When analyzing data, the decision whether to exclude specific data points as non-representative outliers is an important one. The exclusion of one or more flyers may have a very large impact on the results of the analysis. While it is tempting to simply remove points that appear to be different, doing so may cover-up real issues that must be addressed.

This webinar will provide guidelines for determining whether removing suspect data points is justified or not. If the decision is not clear, the use of sensitivity analysis to determine the effect of the outlier(s) on the results of the analysis will be described. Additionally, several statistical outlier tests will be covered to provide objectivity to the decisions. Numerous examples will be provided to illustrate the decision making process and various outlier tests.

Learning Objectives:

  • Understand when to exclude outlying data points from your analysis
  • Apply sensitivity analysis to determine the impact of removing data
  • Perform and interpret hypothesis tests for outlier detection

Areas Covered in the Webinar:

  • Defining outliers
  • Probability distributions
  • Determining whether or not to exclude specific data points
  • Sensitivity analysis
  • Statistical tests for outliers (e.g. Grubbs, Dixon)
  • Interpreting hypothesis tests for outliers
  • Documenting data removal

Who Will Benefit:

  • Business Analysts
  • Product/Process/Business Managers
  • Quality and Process Engineers
  • Plant Operations Personnel
  • Engineers
  • Scientists
  • R&D Personnel
  • Product Development personnel
  • Personnel utilizing data to make decisions
Instructor Profile:
Steven Wachs

Steven Wachs
Principal Statistician, Integral Concepts, Inc

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.

Mr. Wachs is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Mr. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.

He has an M.A. in Applied Statistics from the University of Michigan, an M.B.A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.S., Mechanical Engineering from the University of Michigan.

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