\$1,499 – \$2,099

# Applied Statistics for Scientists and Engineers

## Event Information

Location

### Location

San Francisco

San Francisco, CA

Refund Policy

### Refund Policy

Refunds up to 30 days before event

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Event description

### Description

Throughout 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries, the application of statistical methods are specified for: performing measurement systems analysis (MSA), 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 experiment 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, select industry-specific applications are presented for the participants: MSA, DOE, SPC, and process capability.

### Learning Objectives:

Upon completing this course participants should be able to:

• Describe and analyze a distribution of data
• Develop summary statistics
• Generate and analyze statistical intervals and hypothesis tests to make data-driven decisions
• Describe the relationship between and among two or more factors or responses
• Understand issues related to sampling and calculate appropriate sample sizes
• Use statistical intervals: confidence, prediction, and tolerance
• Understand how Measurement Systems Analysis (MSA) can be to estimate variance associated with: repeatability, intermediate precision, and reproducibility
• Understand how design of experiments (DOE) is used in process development
• Understand what it means for a process to be in (statistical) control and capable

### Who will Benefit:

This webinar is designed for scientists and engineers who are involved with product and/or process design as well as manufacturing:

• Process Scientist/Engineer
• Design Engineer
• Manufacturing Engineer
• R&D Scientist
• Product Development Engineer
• Regulatory/Compliance Professional
• Design Controls Engineer
• Six Sigma Green Belt
• Six Sigma Black Belt
• Continuous Improvement Manager

Note: Use coupon code REFERRAL10 and get 10% off on registration.

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### Location

San Francisco

San Francisco, CA

### Refund Policy

Refunds up to 30 days before event