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Statistical Analysis for Product Development: 2-day In-person Seminar  

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Development scientists, Engineers, Analytical method development, and QA/ QC personnel.

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Seminar Summary:

This course is designed to help scientists and engineers understand the statistical methods used in process and product development. (see full course description)

 

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Training Course Syllabus:


Statistical Analysis for Product Development

By: Steven Walfish, President of Statistical Outsourcing Services

Course Description:

This course is designed to help scientists and engineers understand the statistical methods used in process and product development. Variability is part of every process, design of experiments helps to separate systematic variability from special cause variability. You will get a chance to examine the different sources of variability how it relates to analytical method development, process improvement and sample size selection. The concept of experimental budget will be introduced to help you plan the total number of experiments needed. You will also learn to improve process output characteristics including quality, cost, and robustness through generating empirical models of your processes in the fewest experiments possible.

This highly interactive course will allow participants the opportunity to develop strategies for analysis of experimental data. The objective is to provide participants with key technical information along with perspectives to enable them to apply the technologies to their own projects and evolve their own statistical methods to support the various stages of product development.

Statistical Analysis for Product Development Course Outline:

Day 1

Introduction to Statistical Hypothesis Testing (2 Hours)
Null hypothesis versus the alternative
Different errors that can be made in doing statistical tests
When do we use the Z-test and when do we use the t-test
Testing variances
Working with Confidence (1.5 Hours)
Confidence Intervals
Tolerance Intervals
Sample Size
Overview of Analysis of Variance and Variance Components (3.5 hrs)
Fixed versus Random Effects
What does a p-value mean and how do I interpret them?
Understanding an ANOVA table
How do I use ANOVA to calculate variance?

Day 2

Screening Out Noise (2 Hours)
Screening experiments
Resolution of a design
What is an interaction?
Building an appropriate model
Design Control (2 Hours)
Design Verification
Design Validation
Regression Analysis (2 Hours)
Product Stability
Analytical Method Validation (1.5 hours)
Accuracy and Linearity
Precision

Seminar Training Time:

Seminar Check-In:  8:00AM  Seminar Program:  8:30AM - 4:00PM


If you reside outside the US or Canada please check the International Registrants Policy before registering

Seminar Summary:

This course is designed to help scientists and engineers understand the statistical methods used in process and product development. (see full course description)

print this agenda print agenda for the Statistical Analysis for Product Development: 2-day In-person Seminar training seminar

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