DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/tvcvpk/statistical) has announced the addition of the "Statistical Analysis for Product Development" conference to their offering.
Location: Madison, WI
Date: 24th & 25th of April 2013
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.
Learning Objectives:
Learn the technical details and rationale for selecting and analyzing well designed statistically based experiments.
Develop the confidence to design and execute experiments that maximizes information in your day-to-day activities.
Participate in discussions with other course attendees to increase your confidence and proficiency in statistical hypothesis testing.
Determine the most robust settings in your process to minimize the different sources of variability.
This course is developed to provide valuable assistance to all regulated companies that need to understand their processes including companies in the Medical Device, Diagnostic, Pharmaceutical, and Biologics fields. The employees who will benefit include:
Development scientists
Engineers
Analytical method development, and QA/ QC personnel.
Key Topics Covered:
Day One (8:30 AM - 4:00 PM)
Registration Process: 8:30 AM - 9:00 AM
Session Start Time: 9:00 AM
- 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 Two (8:30 AM - 4:00 PM)
- 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
Speakers
Steven Walfish
President of Statistical Outsourcing Services
For more information visit http://www.researchandmarkets.com/research/tvcvpk/statistical
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