Joel Smith

All over every industry there is a graveyard of deployments that began with all the right factors. Why is that?

If not trained well in statistical analysis, Belts lose confidence as soon as a real-world scenario deviates from the classroom example. Bridge the gap between theoretical knowledge and practical know-how with these four practices for your statistical tools training.

Tangible benefits are the common currency of defining project success, tying the value of the project to the organization’s bottom line.

The Individuals-Moving Range (I-MR) Chart is one of the most widely-used control charts in statistics and the standard for most situations where data was collected in individual data points. It allows such a process to be assessed for stability both in terms of central tendency as well as variation.

Process stability is a critical need before trying to improve that process, and control charts are used to assess it. The lower control limit is one of the three fundamental lines on a control chart for identifying a lack of stability.

Fitted values are, in short, predictions. In Six Sigma terms, they are the expected value of Y for a specific combination of Xes and allow the practitioner to estimate what to expect even when those predictor values have never been observed.

Balanced experiments are a common class of designed experiment where the factors that are manipulated are set at levels that occur equally within each level of the other factors. This setup provides several advantages, including the need for few experimental runs, lack of correlation between factors, and simplicity.