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Why the 'Scientific Method' you learned in school is fundamentally flawed.

What is the probability of getting six spades in a hand of 13 cards?

A common problem in manufacturing is to determine if a process change affects the quality of a product.

In this post you will learn how to use JMP to analyze Experiment Designs with censored data.

This post describes how to use data collected for an experiment to also do a measurement quality sanity check.

Reliability analysis is essential to developing and manufacturing quality products. The Weibull Distribution is a powerful tool for measuring variations in production reliability and predicting product life, so you can make more informed decisions.

Engineers can now measure product reliability and life, to design more reliable products. This article features three industry examples of Reliability Analysis.

One-Factor-at-a-Time is the most common experimental methodology, but it has significant weaknesses: it's subjective, restricted and ignores factor interactions. Using a model corrects these shortcomings.

In this paper you will learn how to use the JMP Custom Designer to create Experiment Designs with non-linear constraints.

Design of Experiments gives you the most information at the lowest cost with the least amount of work. This article presents three industry examples, from Hewlett Packard, Lexmark International and Monsanto.

Gage Performance Curves provide a way to communicate the results of your MSA so that others can easily understand your results.

If your data is important, then you should perform a Measurement System Analysis (MSA) to ensure its accuracy. Three real-world examples describe measuring surface tension for inks, copper thickness for printed circuit boards and diamond cutter wear.

Typical Gage R&R studies rely on the assumption that a part can be measured without changing the characteristics of that part. This post tells you how to perform a Measurement System Analysis for a Destructive Measurement System.

Invention and innovation are different. Using invention methods to innovate is ineffective. Learning Effective Innovation has been difficult in the past, but Objective Experiments makes it easy.

Here are ten key concepts every engineer should understand.

This post will show how a combination of Design of Experiments and Monte Carlo techniques can be used to set robust process specifications in a straightforward, objective manner.

Dr. Whitman addresses several questions about the Weibull Distribution.