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Controls Charts Are Good for So Much More than SPC!
Control charts take data about your process and plot it so you can distinguish between common-cause and special-cause variation. Knowing the difference is important because it permits you to address...
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The Easiest Way to Do Multiple Regression Analysis
Maybe you're just getting started with analyzing data. Maybe you're reasonably knowledgeable about statistics, but it's been a long time since you did a particular analysis and you feel a little bit...
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How to Avoid Overfitting Your Regression Model
Overfitting a model is a real problem you need to beware of when performing regression analysis. An overfit model result in misleading regression coefficients, p-values, and R-squared statistics....
View Article3 Ways to Gain Buy-In for Continuous Improvement
Research out of the Juran Institute, which specializes in training, certification, and consulting on quality management globally, reveals that only 30 percent of improvement initiatives succeed. And...
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Fighting Wildfires with Statistical Analysis
Wildfires in California have killed at least 40 people and burned more than 217,000 acres in the past few weeks. Nearly 8,000 firefighters are trying to contain the blazes with the aid of more than 800...
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Using Data to Save Lives: Q&A on Quality Improvement in Healthcare
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WHO Cares about How Much Sugar You Eat on Halloween?
Are you going to be a witch today? Batman? Jedi? You're not alone according to National Retail Federation statistics on top costumes and Halloween spending trends. Last-minute candy shopping? Check out...
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Drive Efficiency in Your Process: 5 Critical Lean Tools
Lean, also known as “Lean Manufacturing” or “Lean Production,” focuses on maximizing customer value by removing waste and eliminating defects. Lean tools are about understanding the process, looking...
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Step 1: Pinpoint Waste. Step 2: Deal with It. 5 More Critical Lean Tools
Dramatic cost savings. Lead time and inventory reductions. Improved transactional processes.Although Lean has its roots in manufacturing, nearly every industry and type of organization around the world...
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Snowy Statistics: 2018 Winter Weather and Analyzing Boston's Record 2015...
As we start off 2018, our eyes are on the winter weather, specifically low temperatures and snowfall. After 2015-2016's warmest winter on record and Chicago breaking records in 2017 with no snow...
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The Journey Towards Industry 4.0
The convergence of the widespread deployment of low-cost sensors, cloud and greater compute power has brought together a multitude of connected devices which can monitor, collect, exchange, analyze and...
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Analyze in One Click with These 4 Tricks Using Minitab Macros
At Minitab, we want our users to focus their time on drawing sensible conclusions from their data that they can use to resolve business problems or take advantage of opportunities. However, with more...
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Trimming Decision Trees to Make Paper: A Hands-on Machine Learning and Root...
Are you headed to Lean and Six Sigma World in Las Vegas April 3-4? In Beyond the Buzzwords: Application of Machine Learning in Lean Six Sigma, Minitab statistician Charles Harrison and I will share...
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Understanding Monte Carlo Simulation
If you collect and analyze real data for a living, the idea of using simulated data for a Monte Carlo simulation sounds a bit odd. How can you improve a real product with simulated data? In this...
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What is User-centered Design and why is it important?
Minitab’s R&D department uses modern design principles, including a user-centered design approach – adopting the Neilsen Norman Group’s (NN/g) methods and processes. NN/g is the world’s leader in...
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