Event Details
16 hours
Instructor-led class training, with opportunities to practice learned skills using prepared data, live demonstrations, and data collected real time in class
Minitab or JMP Statistical Software
This course is designed for engineers, quality professionals, researchers, and managers who need to understand and extract information from observational data such as key process input variables or process drivers.
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Please contact us if you are interested in private training for this workshop.
16 hours
Instructor-led class training, with opportunities to practice learned skills using prepared data, live demonstrations, and data collected real time in class
Minitab or JMP Statistical Software
In today’s data rich environment, vast amounts of data are routinely collected. These are termed ‘happenstance’, ‘non-experimental’, or ‘observational’ data. The role of statistics with such observational data is to extract all available information – often called Data Mining – and in particular to identify the Key Process Input Variables (KPIVs) for use in process improvement and process control. With a suitable sampling plan and a knowledge of how to prepare data for analysis, the engineer or researcher can then use statistical methods, much like a detective looking for clues, to release otherwise hidden information from data, providing the basis for correct decisions.
Observational data require special techniques and care in order to extract meaningful information and reach valid conclusions. Observational data are common in most process industries and can yield valuable information from normal process data without resorting to designed experimental data, which may be more costly to obtain. This course gives basic methods to compare a single input to a single output. It covers discrete or continuous inputs with continuous outputs and discrete inputs with discrete outputs. The methods introduced here are building blocks for more advanced data mining techniques as well as the basis for single factor experiments.
This course is designed for engineers, quality professionals, researchers, and managers who need to understand and extract information from observational data such as key process input variables or process drivers.
Through training, participants will:
Introduction to Data Mining
Statistical Reasoning
One and Two Sample Comparison of Means
Three or More Sample Comparison of Means
Simple Linear Regression
Chi-Square Analysis
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Quality Support Group provides world class training in many useful topics. Their trainers, specifically Don and Dave, are very knowledgeable and genuinely there to help you learn and understand. I took their Green Belt training and certification, and highly recommend it. They have excellent training material, software tools, and activities. They are teaching from many years of experience and have so much technical and industry knowledge that makes it easier to relate to, understand, and apply the concepts. From this experience, I will definitely be looking to get more training from them to improve my skills. I highly recommend reaching out to QSG for your training needs and more. My company, Hexagon, has trusted them for years, having them continually train our employees in regulatory standards, problem solving 8D, continuous improvement, etc
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