Quantum XL Articles and Tutorials
Were the Colts’ footballs below the required 12.5 psi?
The Patriots were recently fined $1 million, lost two draft picks, and lost Tom Brady for four games. The NFL’s motivation was that the Patriots’
Understanding Latitude Plots – Part I
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
Roger Maris Case Study – Using Quantum XL to Define Multiple Inputs Simultaneously
Quantum XL’s bulk input/output feature allows the rapid creation of models with large numbers of inputs. To demonstrate how to use this feature, we will use
Quantum XL’s Auto-Hypothesis Test
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
Quantum XL 2009 Articles
Quantum XL 2009 includes numerous new features including more flexible model building, latitude plots, percent contribution plots, support for 13 distributions, and much more. Flexible Model
Optimization (Robust Design) using 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
Mixed Response Modeling and Optimization with Quantum XL 2013
Mixed response modeling is a mouthful but a very simple concept. Outputs (responses) can be either Quantitative, Binary, or Nominal. Each of these types of
Logistic Regression Case Study: Did Performance-Enhancing Drugs Favor Batters or Pitchers?
My previous article analyzing the performance of Barry Bonds and Roger Clemens has spurred quite a controversy. In the article, the statistics show that Roger Clemens’ performance
Limitations of Quantum XL’s Auto-Test
Quantum XL’s AutoTest greatly reduces the time required to find and run the correct Hypothesis Test. However, there are some important notes that you should
Hypothesis Testing with the Lens Placement Simulator
Our Lens Simulator can be used to practice a number of statistical concepts including Cpk/Ppk analysis, control charts, hypothesis testing, and others. In this article
Design of Experiments (DOE) Tutorial with Quantum XL
In this tutorial we will lead you through the process of setting up a DOE, analyzing it with regression/ graphical tools, and optimizing the output.
Categorical Predictor Variables in Design of Experiments (DOE)
Categorical Predictor Variables in Design of Experiments (DOE) by Philip Mayfield Inputs to designed experiments can fall into two general broad categories: Quantitative and Categorical