Statistical Power – Understanding, Calculating, and How to Effectively Use it

Date	Aug 15, 2018
Time	03:00 PM EDT
Cost	$17125.00
Online

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

Why You Should 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. 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 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”.

Areas Covered in the Session :

• Vocabulary and Concepts
• t-Tests and p-values
• Statistical Power
  • For t-Tests
  • Critical Difference to Detect
  • Example Calculations
  • Power Curves[ul]

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Who Should Attend:

• QA/QC Supervisors
• Process Engineers
• Manufacturing Engineer
• QC/QC Technicians
• Manufacturing Technicians
• R&D Engineers