Understanding, Calculating, and Using Statistical Power in Sample Size Determinations for Significance Tests

  • John N Zorich
  • 12, December 2019 Thursday
  • 10:00 AM PST | 01:00 PM EST (90 Min)

Calculation of power is so complicated that it typically must be done with a software program. Even so, the software program's output can be misunderstood unless the user has a firm understanding of the basic concept of statistical power. This seminar helps the attendee to understand and use the output of power calculations, to determine adequate sample sizes and to determine whether or not a product or process meets requirements.

Live Online Training
December 12, Thursday 10:00 AM PST | 01:00 PM EST (90 Min)

$249.00
One Dial-in One Attendee
$629.00
Group-Max. 10 Attendees/Location
(For multiple locations contact Customer Care)

Recorded Version Only

(PPT + Recorded Streaming Link)

$299.00
1x Person - Unlimited viewing for 6 Months (For multiple locations contact Customer Care)
rec Recorded Link and Ref. material will be available in My Account Section 48 hrs after completion of Live training

CD or USB Drive Only

(PPT + Recorded Training File)

$399.00
One CD/USB is for usage in one location only.
(For multiple locations contact Customer Care)
CD/USB and Ref. material will be shipped within 15 business days after completion of Live training
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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". FDA typically requires a minimum of 80% power, and often requires 90% power.

This seminar explains power 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".

Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.

This webinar provides thorough training in how to interpret and use the power-analysis outputted by text-book calculations or software programs modules.

Areas Covered in the Webinar:
  • Vocabulary and Concepts
  • t-Tests and p-values
  • Statistical power
    • for t-Tests
    • critical difference to detect
    • example calculations
    • Power Curves
    • Software programs
Who Will Benefit:
  • QA/QC Supervisors
  • Process Engineers
  • Manufacturing Engineers
  • QC/QC Technicians
  • Manufacturing Technicians
  • R&D Engineers
  • Design/manufacturing in the Medical Device and Pharmaceutical Industries
Instructor Profile:
John N Zorich John N Zorich

Statistical Consultant and Trainer, Statistical Consultant

John Zorich has spent almost 40 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 next 15 years were as a consultant in the areas of QA/QC and Statistics. These last few years were as a trainer and consultant in the area of Applied Statistics only. His consulting clients in the area of statistics have included numerous start-ups as well as large corporations such as Boston Scientific, Novellus, and Siemens Medical. His experience as an instructor in applied statistics includes having given annual 3-day seminars for many years at Ohlone College (San Jose CA), and previously having given that same course for several years for Silicon Valley ASQ Biomedical. He's given numerous statistical seminars at ASQ meetings and conferences. And he creates and sells validated statistical software programs that have been purchased by more than 110 companies, world-wide.

Refund Policy

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. FDATrainingAlert 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.

If you have any concern about the content of the webinar and not satisfied 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 customercare@fdatrainingalert.com call +1-888-771-6965 (Toll Free).

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