Statistical Analysis for Process and Product Development

This course is designed to help scientists and engineers apply statistical methods used assist decision making in process and product development. Variability must be considered when utilizing data to arrive at conclusions.

This course will cover Basic Statistics and Graphical Methods used to summarize data.

You will learn how to apply Hypothesis Testing methods to determine whether groups are statistically equivalent or not with respect to key process characteristics such as process averages and variability.

The use of confidence intervals when estimating key parameters will be covered.

When planning studies, sample size determination is critical to ensure that study results will be meaningful. Methods to determine appropriate sample sizes for various types of problems will be covered.

Learning Objectives:

Effectively summarize data and communicate results with basic statistics and graphical techniques

Apply Hypothesis Testing to test whether two or more groups of data are statistically equivalent or not.

Estimate key process parameters with associated confidence intervals to express estimate uncertainty

Determine appropriate sample sizes for estimation and hypothesis testing

Understand key concepts related to Design of Experiments

Apply experiments to determine cause and effect relationships and model process behaviour

Who will Benefit:

Scientists

Product and Process Engineers

Quality Engineers

Personnel involved in product development and validation

Note:

Use coupon code NB5SQH8N and get 10% off on registration.

For Registration:

http://www.complianceonline.com/statistical-analysis-process-and-product-development-seminar-training-80311SEM-prdsm?channel=sciencedz