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 More

Box 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 More

Run 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 More

Scatter 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 More

Make 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 More

Pareto 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 More

Pareto 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 More

Pareto 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 More

Using Lean Six Sigma in Your Daily Life

What is Lean Six Sigma? Lean Six Sigma is a quality improvement process used by many corporations and organizations worldwide. There are several benefits for using this methodology for any business large or small. These same valuable tools and methods are ways of using Lean Six Sigma in your daily life. Your Plan As a…

Read More

How 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 More

How 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 More

Getting 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 More

How 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 More

Normal 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 More

How 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 More

DPMO – 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 More

Mood’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