Tips and Techniques for Statistics and Quality Improvement

Blog posts and articles about using Minitab software in quality improvement projects, research, and more.

Data analysts don’t count sheep at night. We look for a nice, bell-shaped curve in their arc as they leap over the fence. That’s normal distribution, and it’s a starting point to understanding one of the most important concepts in statistical analysis: the central limit theorem.

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When the data science buzz began around a decade ago, creating a predictive model was complicated work that only skilled programmers could accomplish. Today, new tools and new techniques are shifting the focus from programming details to building models that are robust, scalable and focused on creating business value.

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Data and analytics capabilities have taken center stage in recent years. The volume of available data has grown exponentially, and the exposure to analytics have steadily improved and become topic of focus across organizations. The convergence of these trends is fueling business efficiencies and innovation. 

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