Conference Details

Hypothesis testing is the basis of everything we do in statistics, including not only DOE but also statistical process control (SPC) and acceptance sampling. These activities begin with a null hypothesis that is similar to the presumption of innocence in a criminal trial. We assume that there is no difference between the control or the experiment, that the process is in control, or that a production lot is acceptable. We must prove beyond a quantifiable reasonable doubt (the significance level or Type I risk) that the alternate hypothesis is true instead. Read more : http://www.globalcompliancepanel.com/control/globalseminars/~product_id=900886SEMINAR?channel=mailer&camp=Seminar&AdGroup=allconferencealerts_MAY_2017_SEO

Date :

Place : United States, Los angeles, ca

Website :

Contact Person:Eevnt Manager

Description:

Hypothesis testing is the basis of everything we do in statistics, including not only DOE but also statistical process control (SPC) and acceptance sampling. These activities begin with a null hypothesis that is similar to the presumption of innocence in a criminal trial. We assume that there is no difference between the control or the experiment, that the process is in control, or that a production lot is acceptable. We must prove beyond a quantifiable reasonable doubt (the significance level or Type I risk) that the alternate hypothesis is true instead. Read more : http://www.globalcompliancepanel.com/control/globalseminars/~product_id=900886SEMINAR?channel=mailer&camp=Seminar&AdGroup=allconferencealerts_MAY_2017_SEO

Hypothesis testing is the basis of everything we do in statistics, including not only DOE but also statistical process control (SPC) and acceptance sampling. These activities begin with a null hypothesis that is similar to the presumption of innocence in a criminal trial. We assume that there is no difference between the control or the experiment, that the process is in control, or that a production lot is acceptable. We must prove beyond a quantifiable reasonable doubt (the significance level or Type I risk) that the alternate hypothesis is true instead. Read more : http://www.globalcompliancepanel.com/control/globalseminars/~product_id=900886SEMINAR?channel=mailer&camp=Seminar&AdGroup=allconferencealerts_MAY_2017_SEO will be held in Los angeles, ca,United States on date 2017-05-12

Deadline for abstracts/proposals : 9th May 2017

Organized By :NetZealous DBA as GlobalCompliancePanel

Keynote Speakers : William A. Levinson, P.E., is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engineer, and Six Sigma Black Belt. He is also the author of several books on quality, productivity, and management, of which the most recent is The Expanded and Annotated My Life and Work: Henry Ford's Universal Code for World-Class Success.

Conference Highlights :Manufacturing Engineers Managers, and Technicians

Venue :Los Angeles, CA, United States

Check the for more details.

Hypothesis testing is the basis of everything we do in statistics, including not only DOE but also statistical process control (SPC) and acceptance sampling. These activities begin with a null hypothesis that is similar to the presumption of innocence in a criminal trial. We assume that there is no difference between the control or the experiment, that the process is in control, or that a production lot is acceptable.

We must prove beyond a quantifiable reasonable doubt (the significance level or Type I risk) that the alternate hypothesis is true instead.

Read more : http://www.globalcompliancepanel.com/control/globalseminars/~product_id=900886SEMINAR?channel=mailer&camp=Seminar&AdGroup=allconferencealerts_MAY_2017_SEO

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