Can you trust your data? This relatively simple question needs to be answered when you make data-driven decisions. But many of us forget to ask it, or respond too quickly and confidently. Assuming that your data is good is not enough, you need to be sure that it is reliable. That may require a little bit more work up front, but energy invested in getting good data pays off in better decisions, bigger improvements, greater confidence and, last but not least, savings to the bottom line
Being able to collect, collate and analyze data stored on servers is becoming ever-more critical as companies use this to find insight and improve efficiency and effectiveness. This article written by Minitab Trainer
Bruno Scibilia with the contribution of Minitab Sr. Advisory User Experience Designer and Technical Trainer
Cheryl Pammer, gives you some insights on the value of Modern Statistics combined with Computer Science. Minitab has acquired Salford Systems, specialized in state-of-the-art machine learning technology designed to assist data scientists in all aspects of predictive model development.
More than 90 inches of snow fell in Boston in the winter of 2015, but how rare was this occurrence? This article explores the rarity of the 2015 Boston snowfall amount in terms of Sigma Levels and examines University of Oklahoma meteorologist Sam Lillo’s estimate of the likelihood of this event occurring.
Using Nonlinear Regression in Minitab to Model Diffusion in a High Intensity Discharge Lamp By P. Watté, Philips Innovative Applications, Global Technology and Development HID & SL, Belgium Introduction
Explaining what DOE is and what it can do for you is difficult, but having a paper helicopter on hand helps. The paper helicopter provides a way to quickly explain and understand basic DOE concepts. It also offers an easy-to-do experiment you can analyze with Minitab Statistical Software. This article leads you step-by-step through the creation and analysis of a paper helicopter DOE.
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