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

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

Online

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• 1 hour 30 minutes
• Mobile eTicket

Date: Mar 7, 2023

Time: 13.00.00 EST

Duration: 3hrs

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 (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

### Who Should Attend:

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