Making Data Driven Decisions using Statistical Hypothesis Testing
Instructor:
Steven Wachs
Product ID: 704211
- Duration: 60 Min
Why Should You Attend:
Many engineers, scientists, and business analysts struggle with the application of statistical methods when analyzing data to making decisions. Non statisticians frequently seek help in tasks such as determining appropriate sample sizes, interpreting tests results, and distinguishing statistical differences from practical differences.
This webinar will lay the groundwork for a deeper understanding of statistical hypothesis tests. Key concepts and terminology underlying statistical hypothesis tests will be clearly explained. Then, the applications of various different hypothesis tests along with important assumptions are presented. The focus will be on the correct interpretation and presentation of results rather than mathematical details.
Areas Covered in the Webinar:
- Understand hypothesis testing definitions and methodology
- Select appropriate hypothesis tests for specific applications
- Understand key assumptions in specific tests
- Interpret results of hypothesis tests
- Determine appropriate sample sizes for conducting studies
- Learn how to supplement statistical results with graphical methods to illustrate conclusions
- Use correct language when presenting results
Who Will Benefit:
- Product development personnel
- Research and development personnel
- Quality personnel
- Product/process engineers
- Personnel utilizing data to make decisions and improve processes
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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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).
