iSixSigma

Graphical Analysis Charts

Thinking Two Moves Ahead with Analytical Tools

Considering the performance of the stock market over the past few years combined with current economic conditions, many financial institutions are analyzing their processes for improvements. Unfortunately, the majority of process improvement tools available to Six Sigma practitioners – such as cause-and-effect diagrams, Pareto charts, histograms and scatter plots – have been used for analyzing…

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Making Sense of Time Series Forecasting

It is a common scenario: A practitioner has sales data for the past several months and wants to forecast next month’s sales volume. This type of forecasting can help manufacturers and distributors ensure they have enough product to meet customer demands. But how is this forecasting done? Statistical analysis software offers two ways to plot…

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Bar Chart

Purpose of a Bar Chart A bar chart is used to graphically summarize and display the differences between groups of data. How to Construct a Bar Chart A bar chart can be constructed by segmenting the range of the data into groups (also called segments, bins or classes). For example, if your data ranges from…

Histogram

Purpose of a Histogram A histogram is used to graphically summarize and display the distribution of a process data set. How to Construct a Histogram A histogram can be constructed by segmenting the range of the data into equal sized bins (also called segments, groups or classes). For example, if your data ranges from 1.1 to 1.8,…

Understanding Scatter Diagrams and Correlation Analysis

Six Sigma scatter diagrams and their correlation analyses often debunk management myths. Many times executives assume and/or presume that measures vary together when they do not. Sometimes they assume and/or presume that measures do not vary in concert with one another when they do. For better or worse, budget forecasts are based on these assumptions….

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Pareto Chart

Purpose of a Pareto Chart A pareto chart is used to graphically summarize and display the relative importance of the differences between groups of data. Sample Pareto Chart Depiction How to Construct a Pareto Chart A pareto chart can be constructed by segmenting the range of the data into groups (also called segments, bins or categories)….

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Discriminant Analysis Can Minimize Returned Products

Accurate predictions, optimal decisions, and an explanation of root cause and its effects on a process are just a few of the many types of solutions managers are expected to deliver when complex problems appear. Yet, discriminant analysis, one of the most powerful tools used to solve problems in a process, is often neglected in…

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Interpreting Anomalies Correctly Can Help Avoid Waste

People say that Six Sigma is sometimes like using a rocket ship engine in an automobile. The techniques and statistical software tools are so powerful they can lead to anomalies in the data or produce “bad” results. These include: Histograms that do not appear normal Scatter plot diagrams that do not fit a straight line…

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Using Blended Optimization to Quantify the Qualitative

Because of corporate collapses such as Enron and WorldCom, large financial institutions during the last decade have had to absorb enormous losses. In the wake of these fiscal disasters, financial organizations needed to develop risk-rating scorecards to help them become much more quantitative in how they evaluate and assign risks. Six Sigma can provide a…

Using Quadrant Plots to Improve Program Performance

In a typical transaction process, non-continuous data is very common. This data does not rely on infinite possible values along a continuum, but simply notes a discrete outcome such as a binary go/no-go or a Likert-type scale. For many organizations, the data comes in the form of survey instruments to measure process performance. Using a…