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    Calculating, and Using Statistical Power 2017

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    Website http://www.compliance4all.com/control/w_product/~product_id=501563LIVE?channel=ourglocal_Nov_2017_SE | Want to Edit it Edit Freely

    Category Statistical, compliance online training, Statistics, statistical analysis, Manufacturing Technician, statistics data courses, Online USA Programs, statistical process control, software for data analysis

    Deadline: November 05, 2017 | Date: November 06, 2017

    Venue/Country: Fremont, U.S.A

    Updated: 2017-09-21 15:14:10 (GMT+9)

    Call For Papers - CFP

    Overview:

    This webinar explains the basics, by using a t-test as an example. One of the very many possible formulas is then demonstrated, as well as 2 different software programs and their "Power Curves".

    Why should you Attend:

    Whenever a test of statistical significance is conducted with the hope that the result will be non-significant, the results may be unacceptable to a regulatory agency unless the test had an acceptable level of "power".

    Areas Covered in the Session:

    Vocabulary and Concepts

    t-Tests and p-values

    Statistical Power

    Who Will Benefit:

    QA/QC Supervisor

    Process Engineer

    Manufacturing Engineer

    QC/QC Technician

    Speaker Profile:

    John N. Zorich has spent 35 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the last 15 years were as consultant in the areas of QA/QC and Statistics.

    Contact Detail:

    Compliance4All DBA NetZealous,

    Phone: +1-800-447-9407

    Email: supportatcompliance4All.com


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.