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Bimodal Distributions and Why They Matter

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One of the important statistical descriptors of your data is its central tendency. Central tendency can be described using the mean, median and mode of the data. The mean is described as the mathematical center of your data. The median is the physical center of your data, and the mode is the most frequently occurring value in your data.

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The Benefits of Using Flowcharts in Six Sigma Projects

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A flowchart is a diagram of a process, using standard symbols to represent a variety of process activities over a specified timeline.

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Multi-Vari Chart: Visualizing Variation in Your Processes

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As the Chinese proverb says, “a picture is worth a thousand words.” The multi-vari chart is such a picture. In a single graph, you will be able to understand the variation of your process. Let’s learn more. 

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The Science Behind Decision Making: Analytic Hierarchy Process Explained

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When faced with multiple decision criteria, how do you prioritize them? Do you flip a coin or use something more structured? You might want to consider using the Analytic Hierarchy Process as a structured format for prioritizing your decisions.

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Gemba: The Key to Engaging Employees and Improving Performance

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Does Going to Gemba sound like a nice trip to an exotic locale? While not a fancy foreign destination, Gemba is going to where the work is done to learn more about the process. Let’s take a deeper look into what Gemba is about. 

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Comparing and Contrasting AI, CI and Big Data

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AI (Artificial Intelligence) involves creating systems and algorithms capable of mimicking human intelligence to perform tasks like decision-making, problem-solving, and pattern recognition. It leverages techniques such as machine learning and neural networks to improve through experience. Continuous improvement focuses on systematically enhancing processes, products, or services through incremental changes, using methods like Lean […]

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Real Life Examples of Quality Management That Worked

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Quality management is the process of ensuring that products and services meet consistent standards of excellence. It encompasses various strategies, tools, and techniques that aim to enhance organizational performance, improve customer satisfaction, and reduce waste. Many businesses around the world have effectively utilized quality management principles to drive significant improvements. Over the years […]

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Exploring the Benefits of Fractional Factorial DOE

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Fractional factorial DOE is a cost- and time-effective designed experimentation statistical tool for understanding the impact of your process inputs on your process outputs. 

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Suppliers, Inputs, Process, Output, Customers (SIPOC): Powerful Visualization

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What does your process look like from 25,000 feet up in the air? Your extended process view can be described using SIPOC, or supplier, input, process, output, and customer. Let’s get in our plane and go up. 

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Center Points: Finding the Mathematical Center of Your Data

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The use of center points in your designed experiments can be valuable in determining the actual relationship between your input factors and your response variable. Let’s explain this in a little more detail. 

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What is the Bartlett Test and How is it Used in Statistical Analysis

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The Bartlett Test is named after the English statistician, Maurice Stevenson Bartlett. The test is also known as the Bartlett’s test for homogeneity of variances. It is most used in doing a 1-way Analysis of Variance (ANOVA). ANOVA is used to determine whether there is any statistical difference between the means of three […]

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Containment Best Practices: Ensuring Product Integrity

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If you have a non-conforming or defective product coming off your production line, what do you do with it? Utilizing a strategy of containment might be the way to go. Let’s learn more about this. Containment of non-conforming products refers to the actions you take to prevent the distribution or use of products […]

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Radar Charts: The Visual Tool for Multi-Dimensional Data Comparison

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A radar chart, also known as a spider chart, is a great tool to graphically compare multiple outcomes for specific characteristics and criteria. 

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Monitoring Process Performance with X-Bar and R Charts

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Is the variation in your process data to be expected, or has something special occurred? A control chart will give you the answer. The X-bar and R chart will give you the details.

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Homogeneity of Variance and Statistical Inference: What You Need to Know

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There are several statistical tests which assume that independent data sets have equal, similar or equivalent variances. Violating this assumption could render any statistical conclusions invalid. 

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Visual Controls: Managing Processes With a Glance

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When things go wrong in the process, how do you know? And how do you know what to do?

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How the Toyota Production System Can Improve Your Business Processes

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The Toyota Production System (TPS) serves as the foundation for Lean Manufacturing. Let’s explore this powerful method for improving your processes.  The Toyota Production System (TPS) is a manufacturing philosophy and a set of management practices developed by the Toyota Motor Corporation. It emphasizes continuous improvement, just-in-time production, and efficient use of resources, […]

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How Lean Six Sigma Training Must be Adapted to Incorporate AI

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The Need for Adapting LSS Training The traditional LSS approach relies heavily on human expertise for data collection, analysis, and decision-making. While effective, this can be time-consuming, prone to errors, and limited in scope. AI, on the other hand, can process vast amounts of data in real-time, identify patterns that may not be […]

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6 Alternate Frameworks To Quality Management That Work

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Quality management is an essential aspect of any business that strives to deliver products and services that meet or exceed customer expectations. The core principles of Quality Management were developed as part of the International Organization for Standardization (ISO) seven principles of quality management. Traditional quality management systems like Total Quality Management (TQM) […]

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Attribute Data: Quantifying the Qualitative

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You will often see attribute data and discrete data being used interchangeably. At some level, they are similar. But, if we dive a little deeper, you’ll see that there’s a bit more distinction than meets the eye.

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Process Time: Boosting Efficiency

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Process time is the time it takes for one or more inputs to be transformed into a finished product or service by a business process.

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Predicting Success: A Comprehensive Guide to Trend Analysis Tools

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Do you possess a crystal ball to see what the future brings for your organization? Probably not, but you do have a statistical version of a crystal ball by using trend analysis. 

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NORMSINV: Use Microsoft Excel for Your Analysis

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NORMSINV is an Excel function that provides the INVERSE of the cumulative standard normal distribution. Let’s learn how it works.

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Exploring the Null Hypothesis: Definition and Purpose

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The null hypothesis, written as Ho is a subset of the larger topic of Hypothesis Testing. The null hypothesis is a statement about a specific condition of your data and allows you to draw important conclusions about that data.

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