WEDNESDAY, MAY 23, 2012
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Six Sigma Tools & Templates Statistical Analysis

Statistical Analysis

Estimation Method Aids in Analyzing Truncated Data Sets

Practitioners may encounter metrics with physical limits, where the distribution is truncated at the value of physical limitation. In these situations, estimating the population’s standard deviation for the normal distribution can aid in analysis.

Implications of Analyses of Software Inspections Data

A variety of analyses can be done during the Analyze phase of a Six Sigma software project with data from Fagan-style inspections. These analyses suggest possible implications when considering Improve activities.

Improved Forecasting with Moving Averages and Z-Scores

For short-term forecasting, Black Belts can benefit from analyzing moving average plots and looking for special causes of variation. When making long-term forecasts, a method that uses a normal curve and Z-scores may be the better bet.

Ron Santo, Baseball's Hall and a Lesson in Desirability

The desirability function can be used to prove Ron Santo’s right to a spot in the baseball Hall of Fame, as well as to determine how well certain variables are meeting customer needs, and is therefore an important skill for Six Sigma practitioners.

Seeking Reliable Six Sigma Project Data with Eight CTQs

Finding the most cost-effective way for Micropump to obtain the clean and reliable data needed to drive its Lean Six Sigma projects has helped the company accelerate innovations in its product line and consequently improved its bottom line.

Taking Advantage of the Age of Statistics: Part 2

Part 2 describes some statistical tools practitioners can use for predictive decision making.

Taking Advantage of the Age of Statistics: Part I

Part 1 of this article will help practitioners understand the key drivers for the growth of statistics and introduce some leading analytics competitors.

Understanding Statistical Distributions for Six Sigma

To interpret data, consultants need to understand distributions. This article discusses how to understand different types of statistical distributions, understand the uses of different distributions, and make assumptions given a known distribution.

Understanding Statistical Process Control [VIDEO] – With Eduardo Santiago

Knowing whether a process is in control and stable is paramount to producing a product or service that meets customer needs. In this hour-long Minitab training course, Eduardo Santiago covers many useful topics related to statistical process control.

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