A Z-Transform is an equation that transfers a set of data represented by a normal distribution into a standard normal distribution (mean equals zero and standard deviation equals one) by subtracting the original mean from the data set and dividing the result by the original standard deviation. Z-Transform

# Category Archives: Definitions

## First-Pass Yield – Six Sigma Glossary of Terms

Yield is the ratio of the number of units that meet certain criteria to the number of units that enter into the process. The criteria determines if a yield is Traditional Yield or another kind of yield such as Final Yield or Rolled Throughput Yield (RTY). Another common yield expressed in Lean manufacturing is the […]

## Z-Distribution – Six Sigma Glossary of terms.

The Z-Distribution is a special case of the normal distribution in which the mean equals zero and the standard deviation equals one. Z-Distribution

## Z-Score Defined – Six Sigma Glossary of Terms

A Z-Score is a standardized score for measuring process performance relative to customer requirements. The Z-Score is very useful in the DFSS methodology. Z-Score

## Z-Table Defined – Six Sigma Glossary of Terms

A Z-Table is a statistical table of probabilities associated with the Z-distribution or standard normal distribution. Z-Table

## Statistical Process Control for Dummies

If learning complex math, arithmetic, or statistics isn’t needed then why introduce Statistical Process Control or SPC for short? SPC simply put is a quality control method employing statistical methods. Statistical Process Control is applied in order to monitor and control a process. Monitoring and controlling the process ensures that it operates at its full potential and […]

## Voice of the Process (VOP)

The Voice of the Process (VOP) encompasses the entire range of the output (Y) of a process when all of the X\’s in the Y = f(x) equation have varied their full range. Voice of the Process (VOP)

## Y=f(x) Defined – Six Sigma Glossary of Terms

Y=f(x) is the mathematical relationship that identifies the inputs (X\’s) that need to be controlled and the levels they need to be set at to achieve the desired output (Y) to meet customer requirements. Y=f(x) is the ultimate Six Sigma equation in its purest form. Y=f(x)