Data Segmentation

In Six Sigma we collect and analyze data in order to look for patterns that will help us understand the behavior of a process and where to focus our improvement efforts.  Prior to collecting the data, we need to think about how we want to analyze the data.  If we fail to collect the detail […] read more

Issues in Data Collection

There are a number of issues that we must consider when collecting and using data for analysis purposes.  One of those issues is the Hawthorne Effect, also referred to as the observer effect.   This is a phenomenon where individuals change their behavior because they know they are being observed or watched.    The term was coined […] read more

On December 8th, 2014, posted in: Six Sigma by Tags: ,

Discrete and Continuous Data

A clear understanding of the difference between discrete and continuous data is critical to the success of any Six Sigma practitioner.  The decision about which statistical test is appropriate under a specific set of circumstances very often depends on whether the underlying data is discrete or continuous. Discrete data are also referred to as attribute […] read more

The Cost of Quality

Six Sigma is perceived by many as an approach to quality improvement.  In fact, quality improvement is a means to two important ends.  One is improved customer satisfaction, and the other is saving money. The marketplace determines to a great extent how much a company can charge for goods and services.   The company determines how […] read more

On August 8th, 2014, posted in: Six Sigma by Tags: ,