Statistical Analysis for Data-Based Decision Making
The principles of confidence intervals and hypothesis testing are the foundation of statistical analyses assuring the accuracy of all data-based decisions. In this training you will learn to apply statistical tests to compare processes, performance to target and paired populations. Compare variability or defect levels for two or more designs, machines, raw materials or processes using variance and proportion tests. Determine the right sample size for each study using power analysis. Finally, apply regression techniques to establish statistically significant relationships, y = f (x1, x2, x3 …….), between input and output variables, then use these models to optimize your process. In this 2nd course to becoming a Certified Industrial Data Analyst, you’ll be doing not watching, as we analyze examples from Gore-Tex, DepoMed, Quantum Silicone, Merek Millipore, Apple, Corning Inc., 3M, Keurig and more.