“How-To” Articles
Capability Analysis with JMP
What is Process Capability Analysis? Process capability measures how well the process performs to meet given specified outcome. It indicates the conformance of a process to meet given requirements or specifications. Capability analysis helps to better understand the performance of the process with respect to meeting customer’s specifications and identify process improvement opportunities. Process Capability…
Read MoreBox Plot with JMP
What is a Box Plot? A box plot is a graphical method to summarize a data set by visualizing the minimum value, 25th percentile, median, 75th percentile, the maximum value, and potential outliers. A percentile is the value below which a certain percentage of data fall. For example, if 75% of the observations have values…
Read MoreRun Chart with JMP
What is a Run Chart? A run chart is a chart used to present data in time order. Run charts capture process performance over time. The X axis of a run chart indicates time and the Y axis shows the observed values. A run chart is similar to a scatter plot in that it shows…
Read MoreScatter Plot using JMP
What is a Scatter Plot? A scatter plot is a diagram to present the relationship between two data set variables. A scatterplot consists of a set of data points. On the scatterplot, a single observation is presented by a data point with its horizontal position equal to the value of one variable and its vertical…
Read MoreMake a Histogram Using JMP
What is a Histogram? A histogram is a graphical tool to present the distribution of the data. The X axis of a histogram represents the possible values of the variable and the Y axis represents the frequency of the value occurring. A histogram consists of adjacent rectangles erected over intervals with heights equal to the…
Read MorePareto Analysis with SigmaXL
The Pareto Principle and Pareto Analysis with SigmaXL The Pareto principle is an observation not a law. Named after Italian economist Vilfredo Pareto, this principle states that for a variety of situations, 80% of consequences come from 20% of the causes, thus the Pareto principle is also known as the 80/20 rule. The 80/20 rule…
Read MorePareto Analysis with Minitab
What is Pareto Analysis with Minitab and the Pareto Principle? The Pareto principle is an observation not a law. Named after Italian economist Vilfredo Pareto, this principle states that for a variety of situations, 80% of consequences come from 20% of the causes, thus the Pareto principle is also known as the 80/20 rule. The…
Read MorePareto Analysis with JMP
What is the Pareto Principle? Before getting into Pareto analysis with JMP, a bit about the principle itself. The Pareto principle is an observation not a law. Named after Italian economist Vilfredo Pareto, this principle states that for a variety of situations, 80% of consequences come from 20% of the causes, thus the Pareto principle is…
Read MoreSix Sigma Courseware Update for JMP 12
Lean Sigma Corp. Updates Six Sigma Courseware. Charlotte, NC 10/1/2015 Lean Sigma Corporation has recently updated our Lean Six Sigma courseware to be compatible with JMP version 12. Now, our classroom training courseware, online training modules, “Learn Six Sigma” books and all other Lean Six Sigma courseware is compatible with the latest version of JMP. This update…
Read MoreHow to Run a Pareto Chart in Minitab
One of the most useful charts to visually represent where areas of concern in a business may be is the Pareto Chart. The chart identifies the Pareto principle, or what many call the “law of the vital few,” or more often, the “80:20 rule.” The principle suggests that most effects come from a small amount…
Read MoreHow to Run a 2-Sample T Test in Minitab
When working with data sets in six sigma projects, often there will be a need to compare two groups to each other. A 2-sample T test in Minitab is a hypothesis test to study whether there is a statistically significant difference between the means of two populations. The 2-sample T test runs a comparison of…
Read MoreGetting Your Primary Metric Right
Before any six sigma project can get off the ground successfully, there is one critical metric that must be identified, the primary metric. In the DMAIC process, the define stage allows ample opportunity to clearly identify what the project will impact. This leads to the assignment of establishing your primary metric. The primary metric is…
Read MoreSix Sigma Black Belt JMP Version Update
Lean Sigma Corporation is now in the final stages of publishing an update of its JMP version of the Lean Six Sigma Black Belt curriculum. The new update will include new screen shots and updated step by step examples of how to perform six sigma related statistical analysis using JMP version 11.2. This upgrade comes…
Read MoreHow to Define a Process
The essential method for how to define a process is without question the process map. The process map helps you to understand a process and its component steps. Process maps help determine where and how a process begins and ends as well as all the steps and decisions in between. By learning the basics of…
Read MoreNormal Distribution and Normality
The normal distribution is also known as a Gaussian distribution. It is the most frequently referenced distribution and approximates many natural data tendencies. The normal distribution is a probability distribution of a continuous random variable whose values spread symmetrically around the mean. A normal distribution can be completely described by using its mean (μ) and…
Read MoreHow to Write a Project Charter
In a previous article we stated that DMAIC is a structured and rigorous methodology designed to be repeatedly applied to ANY process in order to achieve Six Sigma. We also stated that DMAIC was a methodology that refers to 5 phases of a project. Define Measure Analyze Improve Control Given that the premise of the DMAIC methodology…
Read MoreRolled Throughput Yield
Rolled Throughput Yield (RTY) is a process performance measure that provides insight into the cumulative effects of an entire process. RTY measures the yield for several process steps and provides the probability that a unit will come through that process defect-free. RTY allows us to expose the “hidden factory” by providing visibility into the yield…
Read MoreDPMO – Defects Per Million Opportunities
DPMO is one of a few important Six Sigma metrics that you should get comfortable with if you’re associated with Six Sigma. In order to understand DPMO it’s best if you first understand both the nomenclature and the minor nuances such as the difference between defect and defective. DPMO Nomenclature: Defects = D Unit = U Opportunity…
Read MorePareto Chart
The Pareto Principle is commonly known as the “law of the vital few” or “80:20 rule”. It means that the majority (approximately 80%) of effects are the result of only a few (approximately 20%) of the causes. This principle was first introduced in the early 1900s by Wilfried Fritz Pareto, an Italian economist who observed…
Read MoreMood’s Median Test with SigmaXL
What is a Mood’s Median Test with SigmaXL? The Mood’s Median test with SigmaXL is a statistical test to compare the medians of two or more populations. Null Hypothesis (H0): η1 = … = ηk Alternative Hypothesis (Ha): At least one of the medians is different from the others The symbol k is the number…
Read More