Quantum XL

Quantum XL’s optimizer provides the unique ability to minimize the defects per million (dpm) across multiple outputs in a model. The optimization is a true stochastic optimization, which means that the inputs are all modeled with probability distributions. This article explains how to use Quantum XL’s optimizer. This article builds on the concept of an […]

Quantum XL‘s Latitude Plots are a visual depiction of the relationship between the expected variation and the latitude window. If used properly, Latitude Plots are an exceptional communication technique, but can be confusing to the uninitiated. This article introduces Latitude Plots and explains how to read them. To serve as an example, we will use

With the release of Quantum XL 2012, we introduced a Hypothesis AutoTest capability. This feature analyzes various statistics of your dataset and endeavors to perform the appropriate hypothesis test for Mean/Median and Variation. When analyzing two or more samples, AutoTest implements our flow chart for choosing the hypothesis test. While no automatic test is perfect, using

Most practitioners who use hypothesis test use the t-Test and F-Test to determine differences in mean and variation respectively. If you are new to hypothesis testing, try the introductory article on the alleged use of performance enhancing drugs by Roger Clemens and Barry Bonds. Not all datasets are appropriate for the t/F Test. To illustrate this,