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    Using Statistics to Determine Sample Size - Webinar By GlobalCompliancePanel

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    Website https://www.globalcompliancepanel.com/control/w_product/~product_id=600433?channel=mailer&camp=webin | Want to Edit it Edit Freely

    Category Health Care, Medical Device, Compliance Training

    Deadline: May 10, 2011 | Date: May 10, 2011

    Venue/Country: Wilmington, U.S.A

    Updated: 2011-04-01 15:34:49 (GMT+9)

    Call For Papers - CFP

    Overview: This webinar covers the statistical methods used to calculate sample sizes for both attribute and variables data.

    Methods for collecting the sample will be covered. Every sampling plan has risks. This webinar covers how to calculate Type I and Type II errors. A discussion of how the FDA views sampling plans, especially for validation and acceptance activities. Sample size to ensure a certain level of process capability will be covered.

    Areas Covered in the Session:

    * How to collect a sample

    * What are the two types of error (Type I and Type II)

    * How to calculate sample sizes for variables data

    * How to calculate sample sizes for attribute data

    * Using confidence intervals on Cpk to calculate a sample size

    * Using binomial confidence intervals

    Who Will Benefit:

    * Management

    * Research and Development

    * Regulatory Affairs personnel

    * Quality assurance/quality control personnel

    * Auditors and inspectors

    Price List:

    Live : $245.00

    Corporate live : $995.00

    Recorded : $295.00


    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.