Daniel Sloan

In 1920, Sir Ronald A. Fisher invented a statistical way to compare data sets. Fisher called his method the analysis of variance, which was later dubbed an ANOVA. This method eventually evolved into Six Sigma data set comparisons. The F ratio is the probability information produced by an ANOVA. It was named for […]

Six Sigma scatter diagrams and their correlation analyses often debunk management myths. Many times executives assume and/or presume that measures vary together when they do not. Sometimes they assume and/or presume that measures do not vary in concert with one another when they do. For better or worse, budget forecasts are based on these assumptions. […]

Six Sigma, 6s, is nothing more, and nothing less, than the use of science to solve problems. Scientific evidence that a breakthrough medical solution is genuine is statistical evidence. Though altruism and evidence influence medical treatments, economic pressure drives improvement. Multi-million dollar savings created by “beating heart” or “off-pump” coronary artery bypass outcomes are a […]

Business Issue A multibillion-dollar software manufacturer needed to drive down the total $191 million annual cost of supplying its workers with continuously updated workstations. Both the software manufacturer and its primary vendor/supplier were in the midst of an aggressive cost cutting initiative that would lead to a new compensation model. The initial, first year targeted […]

Business Issue All medications are not created equally. Reopro (generic name: abciximab), Integrilin (generic name: eptifibatide) and Aggrastat (generic name: tirofiban) are all platelet-inhibiting drugs used in cardiac care. Each is priced differently. They act on patients in slightly different but clinically significant ways. The key critical to quality issue in healthcare is patient safety. […]

A repeated series of actions and variables is a process. A collection of processes is a system. Virtually perfect Six Sigma quality results from an optimal interaction of all the variables in a given system. Process and system questions we all face at work include: Which variables are the most important to the customer? Am […]

Data mining via vector analysis is a powerful, flexible process observation tool. With due regard for the possibility of correlation/causation fallacies, data mining can be used by almost anyone.