Tests for Outliers
Instructor:
Steven Wachs
Product ID: 704404
- Duration: 60 Min
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
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.
More Training By Experts
Refund Policy
Our refund policy is governed by individual products and services refund policy mentioned against each of offerings. However in absence of specific refund policy of an offering below refund policy will be effective.
Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange. Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time. On-Demand Recording purchases will not be refunded as it is available for immediate streaming. However if you are not able to view the webinar or you have any concern about the content of the webinar please contact us at below email or by call mentioning your feedback for resolution of the matter. We respect feedback/opinions of our customers which enables us to improve our products and services. To contact us please email [email protected] call +1-888-717-2436 (Toll Free).
