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    Statistical Hypothesis Tests: Concepts and Applications

    View: 118

    Website https://www.compliance4all.com/control/w_product/~product_id=502463LIVE?channel=ourglocal_May_2019_S | Want to Edit it Edit Freely

    Category Quality Personnel, Product/Process Engineers

    Deadline: May 06, 2019 | Date: May 07, 2019

    Venue/Country: Online, U.S.A

    Updated: 2019-03-20 15:08:23 (GMT+9)

    Call For Papers - CFP

    Overview:

    This training program will cover statistical hypothesis testing concepts including: null and alternate hypotheses, test statistics, p-values, confidence intervals, confidence levels, power, power curves, and sample sizes.

    Why should you Attend:

    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.

    Areas Covered in the Session:

    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

    Who Will Benefit:

    Product Development Personnel

    Research and Development Personnel

    Quality Personnel

    Product/Process Engineers

    Speaker Profile:

    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.

    Event Fee: One Dial-in One Attendee Price: US $150.00

    Contact Detail:

    Compliance4All DBA NetZealous,

    Phone: +1-800-447-9407

    Email: compliance4all14atgmail.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.