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Two-Day Applied Statistics for Scientists and Engineers Course - Burlingame, CA, United States - March 2nd-3rd, 2017 - Research and Markets

Research and Markets
Posted on: 28 Nov 16

Research and Markets has announced the addition of the "Applied Statistics for Scientists and Engineers" conference to their offering.

Throughout 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries, the application of statistical methods are specified for: setting validation criteria and specifications, performing measurement systems analysis (MSA), conducting stability analysis, using design of experiment (DOE) for process development and validation, developing process control charts, and determining process capability indices.

Different statistical methods are required for each of these particular applications. Data and tolerance intervals are common tools used for setting acceptance criteria and specifications. Simple linear regression and analysis-of-covariance (ANCOVA) are used for setting expiries and conducting stability analysis studies. Two-sample hypothesis tests, analysis-of-variance (ANOVA), regression, and ANCOVA are methods used for analyzing designed experiments for process development and validation studies. Descriptive statistics (distribution, summary statistics), run charts, and probability (distributions) are used for developing process control charts and developing process capability indices.

This course provides instruction on how to apply the appropriate statistical approaches: descriptive statistics, data intervals, hypothesis testing, ANOVA, regression, ANCOVA, and model building. Once competence in each of these areas is established, industry-specific applications are presented for the participants.

Who Should Attend:

- Process Scientist/Engineer

- Design Engineer

- Product Development Engineer

- Regulatory/Compliance Professional

- Design Controls Engineer

- Six Sigma Green Belt

- Six Sigma Black Belt

- Continuous Improvement Manager

Agenda:

Day 1 Schedule

Lecture 1: Basic Statistics

Lecture 2: Intervals

Lecture 3: Hypothesis Testing

Lecture 4: ANOVA

Day 2 Schedule

Lecture 1: Regression and ANCOVA

Lecture 2: Applied Statistics

For more information about this conference visit http://www.researchandmarkets.com/research/83tnrk/applied.

View source version on businesswire.com: http://www.businesswire.com/news/home/20161128006020/en/

Business Wire
www.businesswire.com

Last updated on: 28/11/2016

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